fuzzy logic

Summary

Summary: Approximate, quantitative reasoning that is concerned with the linguistic ambiguity which exists in natural or synthetic language. At its core are variables such as good, bad, and young as well as modifiers such as more, less, and very. These ordinary terms represent fuzzy sets in a particular problem. Fuzzy logic plays a key role in many medical expert systems.

Top Publications

  1. ncbi Rough-fuzzy collaborative clustering
    Sushmita Mitra
    Machine Intelligence Unit, Indian Statistical Institute, Kolkata
    IEEE Trans Syst Man Cybern B Cybern 36:795-805. 2006
  2. pmc Logic-based models for the analysis of cell signaling networks
    Melody K Morris
    Center for Cell Decision Process and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
    Biochemistry 49:3216-24. 2010
  3. pmc Training signaling pathway maps to biochemical data with constrained fuzzy logic: quantitative analysis of liver cell responses to inflammatory stimuli
    Melody K Morris
    Center for Cell Decision Processes, Massachusetts Institute of Technology and Harvard Medical School, Boston, MA, USA
    PLoS Comput Biol 7:e1001099. 2011
  4. ncbi A climate-based distribution model of malaria transmission in sub-Saharan Africa
    M H Craig
    National Malaria Research Programme, South African Medical Research Council, PO Box 17120, Congella, Durban 4013, South Africa
    Parasitol Today 15:105-11. 1999
  5. doi State-time spectrum of signal transduction logic models
    Aidan MacNamara
    European Bioinformatics Institute EMBL EBI, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK
    Phys Biol 9:045003. 2012
  6. doi Shape-based computer-aided detection of lung nodules in thoracic CT images
    Xujiong Ye
    Medicsight PLC, London W14 8UD, UK
    IEEE Trans Biomed Eng 56:1810-20. 2009
  7. ncbi Fully automatic segmentation of white matter hyperintensities in MR images of the elderly
    F Admiraal-Behloul
    Department of Radiology, C2S, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
    Neuroimage 28:607-17. 2005
  8. ncbi Autonomous detection of pulmonary nodules on CT images with a neural network-based fuzzy system
    Daw Tung Lin
    Department of Computer Science and Information Engineering, National Taipei University, 151, University Road, San Shia, Taipei, Taiwan 237, ROC
    Comput Med Imaging Graph 29:447-58. 2005
  9. ncbi Adaptive neuro-fuzzy inference systems for automatic detection of breast cancer
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Ankara, Turkey
    J Med Syst 33:353-8. 2009
  10. ncbi A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control
    Abidemi Bolu Ajiboye
    Department of Biomedical Engineering, Rehabilitation Engineering Research Center and Prosthetic Research Laboratory, Northwestern University, Chicago, IL 60611, USA
    IEEE Trans Neural Syst Rehabil Eng 13:280-91. 2005

Research Grants

  1. A BREATH TEST FOR LUNG CANCER
    Michael Phillips; Fiscal Year: 2007
  2. A BREATH TEST FOR LUNG CANCER
    Michael Phillips; Fiscal Year: 2009
  3. Investigating Speech Disorders with Emerging Algorithms
    ANTHONY SALVATORE; Fiscal Year: 2003
  4. ESTROGENS & COGNITION IN FEMALE RHESUS MONKEYS
    AGNES LACREUSE; Fiscal Year: 2000
  5. ONTOGENY & FUNCTION OF PRIMATE VOCAL COMMUNICATION
    Harold Gouzoules; Fiscal Year: 1999
  6. Multifunction Prosthesis Control using Implanted Sensors
    Richard Weir; Fiscal Year: 2003
  7. Multifunction Prosthesis Control using Implanted Sensors
    Richard Weir; Fiscal Year: 2007
  8. Multifunction Prosthesis Control using Implanted Sensors
    Richard Weir; Fiscal Year: 2004
  9. Multifunction Prosthesis Control using Implanted Sensors
    Richard Weir; Fiscal Year: 2006
  10. Multifunction Prosthesis Control using Implanted Sensors
    Richard Weir; Fiscal Year: 2006

Detail Information

Publications331 found, 100 shown here

  1. ncbi Rough-fuzzy collaborative clustering
    Sushmita Mitra
    Machine Intelligence Unit, Indian Statistical Institute, Kolkata
    IEEE Trans Syst Man Cybern B Cybern 36:795-805. 2006
    ..A detailed clustering algorithm is developed by integrating the advantages of both fuzzy sets and rough sets, and a measure of quantitative analysis of the experimental results is provided for synthetic and real-world data...
  2. pmc Logic-based models for the analysis of cell signaling networks
    Melody K Morris
    Center for Cell Decision Process and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
    Biochemistry 49:3216-24. 2010
    ....
  3. pmc Training signaling pathway maps to biochemical data with constrained fuzzy logic: quantitative analysis of liver cell responses to inflammatory stimuli
    Melody K Morris
    Center for Cell Decision Processes, Massachusetts Institute of Technology and Harvard Medical School, Boston, MA, USA
    PLoS Comput Biol 7:e1001099. 2011
    ..To advance beyond this limitation, we propose a novel form of fuzzy logic sufficiently flexible to model quantitative data but also sufficiently simple to efficiently construct models ..
  4. ncbi A climate-based distribution model of malaria transmission in sub-Saharan Africa
    M H Craig
    National Malaria Research Programme, South African Medical Research Council, PO Box 17120, Congella, Durban 4013, South Africa
    Parasitol Today 15:105-11. 1999
    ..Together with population, morbidity and mortality data, the model provides a fundamental tool for strategic control of malaria...
  5. doi State-time spectrum of signal transduction logic models
    Aidan MacNamara
    European Bioinformatics Institute EMBL EBI, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK
    Phys Biol 9:045003. 2012
    ..We use a toy model of signal transduction to illustrate how different logic formalisms (Boolean, fuzzy logic and differential equations) treat state and time...
  6. doi Shape-based computer-aided detection of lung nodules in thoracic CT images
    Xujiong Ye
    Medicsight PLC, London W14 8UD, UK
    IEEE Trans Biomed Eng 56:1810-20. 2009
    ..The method's high detection rate, fast computation, and applicability to different imaging conditions and nodule types shows much promise for clinical applications...
  7. ncbi Fully automatic segmentation of white matter hyperintensities in MR images of the elderly
    F Admiraal-Behloul
    Department of Radiology, C2S, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
    Neuroimage 28:607-17. 2005
    ....
  8. ncbi Autonomous detection of pulmonary nodules on CT images with a neural network-based fuzzy system
    Daw Tung Lin
    Department of Computer Science and Information Engineering, National Taipei University, 151, University Road, San Shia, Taipei, Taiwan 237, ROC
    Comput Med Imaging Graph 29:447-58. 2005
    ..The proposed system is fully automated with fast processing speed. The studies have shown a high potential for implementation of this system in clinical practice as a CAD tool...
  9. ncbi Adaptive neuro-fuzzy inference systems for automatic detection of breast cancer
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Ankara, Turkey
    J Med Syst 33:353-8. 2009
    ..The proposed ANFIS model combined the neural network adaptive capabilities and the fuzzy logic qualitative approach...
  10. ncbi A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control
    Abidemi Bolu Ajiboye
    Department of Biomedical Engineering, Rehabilitation Engineering Research Center and Prosthetic Research Laboratory, Northwestern University, Chicago, IL 60611, USA
    IEEE Trans Neural Syst Rehabil Eng 13:280-91. 2005
    This paper presents a heuristic fuzzy logic approach to multiple electromyogram (EMG) pattern recognition for multifunctional prosthesis control...
  11. ncbi Unsupervised fuzzy based vessel segmentation in pathological digital fundus images
    Giri Babu Kande
    Department of Electronics and Communication Engineering, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur, A P, India
    J Med Syst 34:849-58. 2010
    ..9518 and 0.9602 respectively, being superior to those presented by state-of-the-art unsupervised approaches and comparable to those obtained with the supervised methods...
  12. ncbi Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction
    Abdulhamit Subasi
    Department of Electrical and Electronics Engineering, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey
    Comput Biol Med 37:227-44. 2007
    Intelligent computing tools such as artificial neural network (ANN) and fuzzy logic approaches are demonstrated to be competent when applied individually to a variety of problems...
  13. ncbi Medical data mining by fuzzy modeling with selected features
    Sean N Ghazavi
    Industrial Engineering Department, Louisiana State University, Baton Rouge, LA 70803, USA
    Artif Intell Med 43:195-206. 2008
    ..This paper presents a data mining study of medical data with fuzzy modeling methods that use feature subsets selected by some indices/methods...
  14. doi Automatic glioma characterization from dynamic susceptibility contrast imaging: brain tumor segmentation using knowledge-based fuzzy clustering
    Kyrre E Emblem
    Department of Medical Physics, Rikshospitalet University Hospital, Oslo, Norway
    J Magn Reson Imaging 30:1-10. 2009
    ....
  15. ncbi A system for brain tumor volume estimation via MR imaging and fuzzy connectedness
    Jianguo Liu
    Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, 4th Floor, Blockley Hall, 423 Guardian Drive, PA 19104 6021, USA
    Comput Med Imaging Graph 29:21-34. 2005
    ..The methodology is rapid, robust, consistent, yielding highly reproducible measurements, and is likely to become part of the routine evaluation of brain tumor patients in our health system...
  16. ncbi The application of fuzzy logic to the prescription of antithrombotic agents in the elderly
    Cathy M Helgason
    Department of Neurology, University of Illinois College of Medicine at Chicago, Chicago, Illinois, USA
    Drugs Aging 21:731-6. 2004
    ..An alternative approach to capturing the unique context of each patient is based using fuzzy logic and mathematics. In particular, the fuzzy subsethood theorem of Kosko has direct application here...
  17. ncbi Prediction of protein function improving sequence remote alignment search by a fuzzy logic algorithm
    Antonio Gomez
    Institut de Biotecnologia i Biomedicina, Departament de Bioquímica i Biologia Molecular de la, Universitat Autonoma de Barcelona, Bellaterra, Barcelona, 08193, Spain
    Protein J 27:130-9. 2008
    ..that predicts the putative function for the protein integrating the results from the PSI-BLAST program and a fuzzy logic algorithm is described...
  18. ncbi Fuzzy logic and causal reasoning with an 'n' of 1 for diagnosis and treatment of the stroke patient
    Cathy M Helgason
    Department of Neurology, University of Illinois College of Medicine in Chicago, 912 South Wood Street, Room 855 N, Chicago, IL 60612, USA
    Expert Rev Neurother 4:249-54. 2004
    ..This extrapolation is dependent upon the expertise of the physician. A fuzzy logic multivalued-based scientific model allows this expertise to be numerically represented and solves the clinical ..
  19. pmc A fully automated method for quantifying and localizing white matter hyperintensities on MR images
    Minjie Wu
    Department of Electrical and Computer Engineering, University of Pittsburgh, USA
    Psychiatry Res 148:133-42. 2006
    ..Given the emergence of large NeuroImage databases, techniques, such as that described here, will allow for a better understanding of the relationship between WMHs and neuropsychiatric disorders...
  20. pmc Geometric interpretation of gene coexpression network analysis
    Steve Horvath
    Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California, United States of America
    PLoS Comput Biol 4:e1000117. 2008
    ..The unification of coexpression network methods with traditional data mining methods can inform the application and development of systems biologic methods...
  21. ncbi Risk factors of oral candidosis: a twofold approach of study by fuzzy logic and traditional statistic
    G Campisi
    Department of Oral Sciences, University of Palermo, Palermo, Italy
    Arch Oral Biol 53:388-97. 2008
    ..assess a panel of risk factors associated to oral candidosis (OC) onset and its chronic maintenance by means of fuzzy logic (FL) approach and statistical traditional methodology (STM); to investigate their casual relationship within a ..
  22. doi An experimental comparison of fuzzy logic and analytic hierarchy process for medical decision support systems
    Faith Michael Emeka Uzoka
    Department of Computer Science and Information Systems, Mount Royal University, 4825 Mount Royal Gate SW, Calgary, Canada T3E6K6
    Comput Methods Programs Biomed 103:10-27. 2011
    ..The fuzzy logic is able to handle vagueness and unstructuredness in decision making, while the AHP has the ability to carry out ..
  23. doi Automated diagnosis of coronary artery disease based on data mining and fuzzy modeling
    Markos G Tsipouras
    Unit of Medical Technology and Intelligent Information Systems, Department of Computer Science, University of Ioannina, Ioannina GR 45110, Greece
    IEEE Trans Inf Technol Biomed 12:447-58. 2008
    ..The system offers several advantages since it is automatically generated, it provides CAD diagnosis based on easily and noninvasively acquired features, and is able to provide interpretation for the decisions made...
  24. ncbi Supervisory control of wastewater treatment plants by combining principal component analysis and fuzzy c-means clustering
    C Rosen
    Dept of Industrial Electrical Engineering and Automation, Lund University, Box 118, 221 00 Lund, Sweden
    Water Sci Technol 43:147-56. 2001
    ..The results show that the methodology can be used to determine and co-ordinate control actions in order to shift the control objective and improve the effluent quality...
  25. pmc Adaptable fuzzy C-Means for improved classification as a preprocessing procedure of brain parcellation
    U C Yoon
    Department of Biomedical Engineering, Hanyang University, Seoul, Korea
    J Digit Imaging 14:238-40. 2001
    ..We propose improved classification using successive fuzzy clustering and implementing the parcellation module with the modified graphic user interface (GUI) for the convenience of users...
  26. ncbi Cytological image analysis with a genetic fuzzy finite state machine
    J Estevez
    Departamento de Fisica Fundamental y Experimental, Electronica y Sistemas, University of La Laguna, Tenerife, Spain
    Comput Methods Programs Biomed 80:S3-S15. 2005
    ..Furthermore, the effectiveness of this method as a pattern classifier is compared with other existing supervised and unsupervised methods and evaluated with Receiver Operating Curves (ROC) methodology...
  27. pmc An architecture for performance optimization in a collaborative knowledge-based approach for wireless sensor networks
    Manuel Angel Gadeo-Martos
    Telecommunications Department, University of Jaen, Alfonso X El Sabio 28, Linares, Jaen 23700, Spain
    Sensors (Basel) 11:9136-59. 2011
    ..The results show that the architecture presented in this paper significantly decreases the consumption of resources (memory, CPU and battery) without a substantial decrease in the accuracy of the inferred values...
  28. ncbi Fuzzy-control of a hand orthosis for restoring tip pinch, lateral pinch, and cylindrical prehensions to patients with elbow flexion intact
    N Petroff
    Mechanical Engineering Department, University of Florida, Gainesville 32611, USA
    IEEE Trans Neural Syst Rehabil Eng 9:225-31. 2001
    This study examines, through simulation, the use of fuzzy logic as a feasible control scheme for a hand orthosis that can restore fingertip pinch, lateral pinch, and cylindrical grasps to individuals suffering from C5-C7 spinal cord ..
  29. ncbi Automatic determination of aortic compliance with cine-magnetic resonance imaging: an application of fuzzy logic theory
    Alain Lalande
    Laboratoire de Biophysique, Faculte de Medecine, Universite de Bourgogne, Dijon, France
    Invest Radiol 37:685-91. 2002
    ..However, manual tracing of the aortic contour is subject to important interobserver variations. To estimate the aortic compliance from cine-MRI, a method based on fuzzy logic theory was elaborated.
  30. ncbi Fuzzy logic-based tumor marker profiles including a new marker tumor M2-PK improved sensitivity to the detection of progression in lung cancer patients
    Joachim Schneider
    Institut und Poliklinik für Arbeits und Sozialmedizin, Justus Liebig Universitat, Aulweg 129 III, 35385 Giessen, Germany
    Anticancer Res 23:899-906. 2003
    ..was to improve diagnostic efficiency in the detection of tumor progression in lung cancer patients by using fuzzy logic modeling in combination with a tumor marker panel (Tumor M2-PK, CYFRA 21-1, CEA, NSE and SCC)...
  31. doi Anaesthesia monitoring using fuzzy logic
    Mirza Mansoor Baig
    School of Engineering, Auckland University of Technology, New Zealand
    J Clin Monit Comput 25:339-47. 2011
    ..b>Fuzzy logic-based expert systems, which can mimic human thought processes in complex circumstances, have indicated ..
  32. pmc Severity classification for idiopathic pulmonary fibrosis by using fuzzy logic
    Agnaldo Jose Lopes
    Pulmonary Function Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil
    Clinics (Sao Paulo) 66:1015-9. 2011
    ..To set out a severity classification for idiopathic pulmonary fibrosis (IPF) based on the interaction of pulmonary function parameters with high resolution computed tomography (CT) findings...
  33. pmc Treatment response assessment of breast masses on dynamic contrast-enhanced magnetic resonance scans using fuzzy c-means clustering and level set segmentation
    Jiazheng Shi
    Department of Radiology, The University of Michigan, Ann Arbor Michigan 48109 5842, USA
    Med Phys 36:5052-63. 2009
    ..641). The automated mass segmentation method may have the potential to assist physicians in monitoring volume change in breast masses in response to treatment...
  34. ncbi A 3-D active shape model driven by fuzzy inference: application to cardiac CT and MR
    Hans C van Assen
    Division of Image Processing, Department of Radiology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
    IEEE Trans Inf Technol Biomed 12:595-605. 2008
    ..Without retraining its statistical shape component, it is applicable to routinely acquired CT and MR studies...
  35. ncbi Fuzzy modeling in symptomatic HIV virus infected population
    Rosana Motta Jafelice
    Faculty of Mathematics, Federal University of Uberlandia, Uberlandia, MG, Brazil
    Bull Math Biol 66:1597-620. 2004
    ..Its behavior fits the natural history of HIV infection reported in the medical science domain. The paper also includes a comparison between the fuzzy model and a classic Anderson's model using data reported in the literature...
  36. ncbi Multiple fuzzy neural network system for outcome prediction and classification of 220 lymphoma patients on the basis of molecular profiling
    Tatsuya Ando
    Department of Biotechnology, School of Engineering, Nagoya University, Chikusa ku, Nagoya 464 8603, Japan
    Cancer Sci 94:906-13. 2003
    ..The present paper is the first to describe the multiple noninferior FNN modeling system. This system is a powerful tool for predicting outcome and classifying patients, and is applicable to other heterogeneous diseases...
  37. doi Fuzzy logic-based spike sorting system
    Karthikeyan Balasubramanian
    Department of Electrical and Computer Engineering, College of Engineering and Architecture, Temple University, Philadelphia, PA 19122, USA
    J Neurosci Methods 198:125-34. 2011
    We present a new method for autonomous real-time spike sorting using a fuzzy logic inference engine...
  38. ncbi Fuzzy epidemics
    Eduardo Massad
    School of Public Health and School of Medicine, The University of Sao Paulo, Avenue Dr Arnaldo 455, 01246 903 Sao Paulo, Brazil
    Artif Intell Med 29:241-59. 2003
    The purpose of this paper is to provide a review of the current state of fuzzy logic theory in epidemiology, which is a recent area of research...
  39. ncbi [Video-electroencephalography prolonged monitoring in patients with ambulatory diagnosis of medically refractory temporal lobe epilepsy: application of fuzzy logic's model]
    M E Cosenza-Andraus
    Servicio de Neurologia, Hospital Universitario Clementino Fraga Filho HUCFF, Rio de Janeiro, Brasil
    Rev Neurol 43:7-14. 2006
    ..The fuzzy logic gives an efficient and intelligent analysis method, able to make inferences over ambiguous systems, and has ..
  40. ncbi HPV infection in relation to OSCC histological grading and TNM stage. Evaluation by traditional statistics and fuzzy logic model
    G Campisi
    Dipartimento di Scienze Stomatologiche, Universita di Palermo, Via del Vespro 129, 90127 Palermo, Italy
    Oral Oncol 42:638-45. 2006
    ..between histological grading (HG), TNM clinical stage and HPV infection; and to study the performance of fuzzy logic compared to traditional statistics, in the analysis of HPV status and correlates of OSCC...
  41. ncbi Fuzzy logic-based tumor-marker profiles improved sensitivity in the diagnosis of lung cancer
    Joachim Schneider
    Institut und Poliklinik für Arbeits und Socialmedizin der Justus Liebig Universität, Giessen, Germany
    Int J Clin Oncol 7:145-51. 2002
    The aim of this study was to improve the diagnostic efficiency of tumor markers in the diagnosis of lung cancer, by the mathematical evaluation of a tumor marker profile employing fuzzy logic modelling.
  42. ncbi Statistical versus fuzzy measures of variable interaction in patients with stroke
    C M Helgason
    Department of Neurology and Psychiatry, University of Illinois College of Medicine at Chicago, Ill, 60611, USA
    Neuroepidemiology 20:77-84. 2001
    ..A difference in measure of variable interaction in the patient from that in the collective would show how extrapolation of information from the latter to the single patient is counterintuitive...
  43. pmc Medical concepts related to individual risk are better explained with "plausibility" rather than "probability"
    Enzo Grossi
    Medical Department, Bracco SpA Milan, Italy
    BMC Cardiovasc Disord 5:31. 2005
    ..Few articles by the way have tried to focus the concept of "risk" at the individual subject level rather than at population level...
  44. pmc Fuzzy logic and decision-making in anaesthetics
    Paul Grant
    Department of Anaesthetics, Timaru Hospital, Queen Street, Timaru, South Canterbury Private Bag 911, New Zealand
    J R Soc Med 98:7-9. 2005
  45. ncbi Probabilistic and fuzzy logic in the clinical diagnosis
    L Pagliaro
    Intern Emerg Med 2:75; discussion 100-6. 2007
  46. doi Fuzzy logic for elimination of redundant information of microarray data
    Edmundo Bonilla Huerta
    LERIA, Universite d Angers, 2 Boulevard Lavoisier, 49045 Angers, France
    Genomics Proteomics Bioinformatics 6:61-73. 2008
    ..To cope with these difficulties, this paper introduces a fuzzy logic based pre-processing approach composed of two main steps...
  47. pmc Can fuzzy logic make things more clear?
    Jan A Hazelzet
    Pediatric ICU, Erasmus MC, Sophia, Rotterdam, The Netherlands
    Crit Care 13:116. 2009
    ..Clinical decision support and artificial intelligence using fuzzy logic and closed loop techniques are methods that might help us to handle this complexity in a safe, effective and ..
  48. ncbi From vagueness in medical thought to the foundations of fuzzy reasoning in medical diagnosis
    Rudolf Seising
    Section on Medical Expert and Knowledge Based Systems, Core Unit for Medical Statistics and Informatics, Medical University of Vienna, Spitalgasse 23, A 1090 Vienna, Austria
    Artif Intell Med 38:237-56. 2006
    ....
  49. ncbi Probabilistic and fuzzy logic in clinical diagnosis
    G Licata
    Department of Clinical Neurosciences, University of Palermo, Via Catania 166, I 90141, Palermo, Italy
    Intern Emerg Med 2:100-6. 2007
    In this study I have compared classic and fuzzy logic and their usefulness in clinical diagnosis...
  50. ncbi The use of fuzzy logic to select which curves need to be instrumented and fused in adolescent idiopathic scoliosis: a feasibility study
    Marie Lyne Nault
    Division of Orthopedics, Sainte Justine Hospital, 3175 Cote Sainte Catherine Road, Montreal, Quebec, Canada H3T 1C5
    J Spinal Disord Tech 20:594-603. 2007
    ..Our objective is to capture the proposed rules for the selection of fusion levels and integrate them in a fuzzy logic model to decrease haziness and imprecision in the selection process...
  51. ncbi A fuzzy logic-based decision support system on anesthetic depth control for helping anesthetists in surgeries
    Hamdi Melih Saraoğlu
    Department of Electrical and Electronics Engineering, Dumlupinar University, Kutahya, Turkey
    J Med Syst 31:511-9. 2007
    In this study, a fuzzy logic-based anesthetic depth decision support system (ADDSS) was realized for anesthetic depth control to help anesthetists in surgeries...
  52. ncbi Morphology and morphometry in chronic spinal cord injury assessed using diffusion tensor imaging and fuzzy logic
    Benjamin M Ellingson
    Dept of Biomed Eng, Marquette Univ, Milwaukee, WI 53201, USA
    Conf Proc IEEE Eng Med Biol Soc 1:1885-8. 2006
    ..Furthermore, the use of a fuzzy logic algorithm to segment regions of gray and white matter within the spinal cord based on these anisotropy ..
  53. ncbi A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images
    Weijie Chen
    University of Chicago, Radiology, 584 South Maryland, MC Chicago, IL, USA
    Acad Radiol 13:63-72. 2006
    ..We developed a computerized lesion segmentation method that has the advantage of being automatic, efficient, and objective...
  54. ncbi [Knowledge-based diagnosis and therapeutic recommendations with fuzzy-set theory methods in patients with acute lung failure (ARDS)]
    H Steltzer
    Universitätsklinik für Anaesthesiologie und Allgemeine Intensivmedizin, AKH Wien
    Anasthesiol Intensivmed Notfallmed Schmerzther 34:218-23. 1999
    ....
  55. ncbi Prevention of dialysis hypotension episodes using fuzzy logic control system
    Elena Mancini
    Malpighi Nephrology Department, Dialysis and Hypertension Division, Policlinico S Orsola Malpighi, Via P Palagi 9, 40138 Bologna, Italy
    Nephrol Dial Transplant 22:1420-7. 2007
    ..Due to complex BP regulation under dynamic dialysis conditions, BP itself appears to be the most consistent input parameter for a device addressed to preventing dialysis hypotension (DH)...
  56. pmc Artificial intelligence in medicine
    A N Ramesh
    The University of Hull Academic Surgical Unit, Castle Hill Hospital, Cottingham, UK
    Ann R Coll Surg Engl 86:334-8. 2004
    ..Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting outcome in many clinical scenarios...
  57. ncbi Trabecular bone fracture healing simulation with finite element analysis and fuzzy logic
    Sandra J Shefelbine
    Institute for Orthopaedics and Biomechanics, Helmholtzstrasse 14, 89081 Ulm, Germany
    J Biomech 38:2440-50. 2005
    ..Using finite element analysis and the fuzzy logic for diaphyseal healing, the model simulated formation of woven bone in the fracture gap and subsequent ..
  58. ncbi Survey of fuzzy logic applications in brain-related researches
    Omer Faruk Bay
    Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, Ankara, Turkey
    J Med Syst 27:215-23. 2003
    The aim of this study was to survey fuzzy logic (FL) applications in brain researches...
  59. ncbi Fuzzy logic and mechanical ventilation
    J H Bates
    Department of Medicine, Vermont Lung Center, The University of Vermont, Colchester Research Facility, Clochester, Vermont, USA
    Respir Care Clin N Am 7:363-77, vii. 2001
    ..When a patient is in respiratory failure, the effector's role is taken over by a mechanical ventilator. The issue that is considered in this article is how the physician might be taken out of the feedback loop...
  60. ncbi Evidence-based medicine or fuzzy logic: what is best for ARDS management?
    Didier Dreyfuss
    Intensive Care Med 28:230-4. 2002
  61. ncbi Diagnosing reservoir water quality using self-organizing maps and fuzzy theory
    Ruei Shan Lu
    Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, ROC
    Water Res 36:2265-74. 2002
    ..If special water quality conditions are expressed on the SOM output, those data can reveal that either total phosphorus (TP) or chlorophyll A (chl a) is higher than usual...
  62. ncbi Evaluation of pulmonary function tests by using fuzzy logic theory
    Umit Uncü
    Programming Department, HASTEK Ltd Sti, Ankara, Turkey
    J Med Syst 34:241-50. 2010
    ..Fuzziness encountered during PFT is very important. In this study, the purpose is to use "fuzzy logic" approach to facilitate reliable and fast interpretation of PFT graphical outputs...
  63. ncbi Automated classification of multispectral MR images using unsupervised constrained energy minimization based on fuzzy logic
    Geng Cheng Lin
    Department of Electrical Engineering, National Central University, Jhongli, Taiwan, ROC
    Magn Reson Imaging 28:721-38. 2010
    ..Experimental results demonstrate that UCEM segments a multispectral MR image much more effectively than either Functional MRI of the Brain's (FMRIB's) automated segmentation tool or fuzzy C-means does...
  64. doi Fuzzy Logic in neurosurgery: predicting poor outcomes after lumbar disk surgery in 501 consecutive patients
    Muhammad Shahzad Shamim
    Section of Neurosurgery, Department of Surgery, Aga Khan University Hospital, P O Box 3500, Stadium Road, Karachi 74800, Pakistan
    Surg Neurol 72:565-72; discussion 572. 2009
    ..We have used Fuzzy Logic-based fuzzy inference system (FIS) for identifying patients unlikely to improve after disk surgery and explored ..
  65. ncbi Classification of EMG signals using neuro-fuzzy system and diagnosis of neuromuscular diseases
    Sabri Koçer
    Department of Electronic and Computer Education, Faculty of Technical Education, Gazi University, Ankara, Turkey
    J Med Syst 34:321-9. 2010
    ..Coefficients that were obtained from the EMG signals using Autoregressive (AR) analysis was applied to neuro-fuzzy system. The classification performance of the feature sets was investigated for three classes...
  66. ncbi Fuzzy logic in a patient supervision system
    S Barro
    University of Santiago de Compostela, Spain
    Artif Intell Med 21:193-9. 2001
    ..supervision system in progress for intensive and coronary care units, focused on patients with acute myocardial infarct is briefly described particularly regarding the role that fuzzy logic is playing in its design, and why this is so.
  67. ncbi Improving decisionmaking processes with the fuzzy logic approach in the epidemiology of sleep disorders
    M M Ohayon
    Sleep Disorders Center, Stanford University School of Medicine, CA 94305, USA
    J Psychosom Res 47:297-311. 1999
    ..For this purpose, an expert system was developed for the assessment of sleep disorders and endowed with the fuzzy logic capabilities necessary to determine the degree to which a given symptom corresponds to a specific diagnosis...
  68. ncbi Using fuzzy logic to predict response to citalopram in alcohol dependence
    C A Naranjo
    Psychopharmacology Research Program, Sunnybrook Health Science Centre, Toronto, Ontario, Canada
    Clin Pharmacol Ther 62:209-24. 1997
    ..We hypothesized that fuzzy logic, a qualitative computational approach, could predict response to 40 mg/day citalopram and 40 mg/day citalopram ..
  69. pmc Fuzzy logic analysis of kinase pathway crosstalk in TNF/EGF/insulin-induced signaling
    Bree B Aldridge
    Center for Cell Decision Processes, Cambridge, Massachusetts, United States of America
    PLoS Comput Biol 5:e1000340. 2009
    ..In this paper we apply a fuzzy logic framework to the analysis of a large, systematic dataset describing the dynamics of cell signaling downstream ..
  70. ncbi Improved sensitivity in the diagnosis of gastro-intestinal tumors by fuzzy logic-based tumor marker profiles including the tumor M2-PK
    Joachim Schneider
    Institut und Poliklinik für Arbeits und Sozialmedizin, Justus Liebig Universitat, Aulweg 129 111, D 35385 Giessen, Germany
    Anticancer Res 25:1507-15. 2005
    ..The aim of this study was to improve diagnostic efficiency in the detection of gastro-intestinal cancers by using fuzzy logic modeling in combination with a tumor marker panel (CEA, CA72-4, CA19-9) including Tumor M2-PK...
  71. ncbi A fuzzy logic based closed-loop control system for blood glucose level regulation in diabetics
    M S Ibbini
    Department of Electrical Engineering, Jordan University of Science and Technology, PO Box 3030, 22110 Irbid, Jordan
    J Med Eng Technol 29:64-9. 2005
    ..This control scheme is based on fuzzy logic control theory to maintain a normoglycaemic average of 4...
  72. ncbi A new approach to diabetic control: fuzzy logic and insulin pump technology
    Paul Grant
    Department of Medicine, Royal Sussex County Hospital, Eastern Road, Brighton, East Sussex, United Kingdom
    Med Eng Phys 29:824-7. 2007
    ..In this paper, we sought to explore the use of insulin pumps and the application of fuzzy logic technology to act as an 'artificial pancreas' in diabetic patients...
  73. ncbi An intelligent ventilation and oxygenation management system in neonatal intensive care using fuzzy trend template fitting
    Suliman Yousef Belal
    Institute of Science and Technology in Medicine, Keele University, Staffordshire, UK
    Physiol Meas 26:555-70. 2005
    ..The clinician agreed with the system ventilation decisions in 30 occasions (91%) and in 148 occasions for the system oxygenation decisions (94%). The overall percentage of the agreement between the system and the clinician was 93%...
  74. ncbi Detection of epileptiform discharges in the EEG by a hybrid system comprising mimetic, self-organized artificial neural network, and fuzzy logic stages
    C J James
    Department of Electrical and Electronic Engineering, University of Canterbury, Christchurch, New Zealand
    Clin Neurophysiol 110:2049-63. 1999
    ..A multi-stage system for automated detection of epileptiform activity in the EEG has been developed and tested on pre-recorded data from 43 patients...
  75. pmc Detecting subject-specific activations using fuzzy clustering
    Mohamed L Seghier
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, 12 Queen Square, London WC1N 3BG, UK
    Neuroimage 36:594-605. 2007
    ..The advantage of using FCP is that it searches all voxels systematically and can identify atypical activation patterns in a quantitative and unsupervised manner...
  76. ncbi Gene networks reconstruction and time-series prediction from microarray data using recurrent neural fuzzy networks
    I A Maraziotis
    Department of Medical Physics, Medical School, University of Patras, Rio 26500, Greece
    IET Syst Biol 1:41-50. 2007
    ..The method surpasses other computational techniques, which have attempted genetic network reconstruction, by being able to recover significantly more biologically valid relationships among genes...
  77. ncbi Evaluation of an artificial intelligence guided inverse planning system: clinical case study
    Hui Yan
    Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA
    Radiother Oncol 83:76-85. 2007
    ..For evaluation purpose, four typical clinical cases were tested and the results from both plans achieved by automated and manual methods were compared...
  78. pmc Norepinephrine weaning in septic shock patients by closed loop control based on fuzzy logic
    Mehdi Merouani
    SAMU 93 EA 3409, Universite Paris 13, Hopital Avicenne, rue de Stalingrad, 93000 Bobigny, France
    Crit Care 12:R155. 2008
    ..We applied fuzzy logic principles to modify intravenous norepinephrine (noradrenaline) infusion rates during norepinephrine infusion ..
  79. ncbi A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data
    Mohamed N Ahmed
    Systems and Biomedical Engineering Department, Cairo University, Giza, Egypt
    IEEE Trans Med Imaging 21:193-9. 2002
    ..fuzzy segmentation of magnetic resonance imaging (MRI) data and estimation of intensity inhomogeneities using fuzzy logic. MRI intensity inhomogeneities can be attributed to imperfections in the radio-frequency coils or to problems ..
  80. ncbi Temporal representation and reasoning in medicine: Research directions and challenges
    Klaus Peter Adlassnig
    Section on Medical Expert and Knowledge Based Systems, Core Unit for Medical Statistics and Informatics, Medical University of Vienna, Spitalgasse 23, A 1090 Vienna, Austria
    Artif Intell Med 38:101-13. 2006
    ....
  81. pmc Uncovering transcriptional interactions via an adaptive fuzzy logic approach
    Cheng Long Chuang
    Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
    BMC Bioinformatics 10:400. 2009
    ..This approach, combining an adaptive (learning) fuzzy inference system and an interaction type classifier to predict transcriptional regulatory networks, was named AdaFuzzy...
  82. pmc Explicit logic circuits discriminate neural states
    Lane Yoder
    Department of Mathematics, University of Hawaii, Kapiolani, Honolulu, Hawaii, USA
    PLoS ONE 4:e4154. 2009
    ..The networks show that well-known psychophysical phenomena do not require extraordinarily complex brain structures, and that a single network architecture can produce apparently disparate phenomena in different sensory systems...
  83. ncbi Detecting clusters of different geometrical shapes in microarray gene expression data
    Dae Won Kim
    Department of BioSystems and Advanced Information Technology Research Center, Korea Advanced Institute of Science and Technology, Yuseong Gu, Daejeon
    Bioinformatics 21:1927-34. 2005
    ..The fixed distance norm imposes a fixed geometrical shape on the clusters regardless of the actual data distribution. Thus, different distance norms are required for handling the different shapes of clusters...
  84. pmc FM-test: a fuzzy-set-theory-based approach to differential gene expression data analysis
    Lily R Liang
    Department of Computer Science and Information Technology, University of the District of Columbia, Washington, DC 20008, USA
    BMC Bioinformatics 7:S7. 2006
    ..Comparison of gene expression profiles of patients against those of normal counterpart people will enhance our understanding of a disease and identify leads for therapeutic intervention...
  85. ncbi Evolving fuzzy rules to model gene expression
    Ricardo Linden
    FSMA RJ, R Monte Elíseo S N, CEP 27943 180, Macaé, RJ, Brazil
    Biosystems 88:76-91. 2007
    ..explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polish notation is used (RPN) to describe the rules and to facilitate the GP approach...
  86. ncbi The "fuzzy logic" of the death-inducing signaling complex in lymphocytes
    Craig M Walsh
    Department of Molecular Biology and Biochemistry, University of California, Irvine, California 92697 3900, USA
    J Clin Immunol 23:333-53. 2003
    ..Rather than operating as a binary system, we propose that the DISCs formed around various DRs transduce signals leading to a variety of cellular fates...
  87. ncbi A novel approach to microcalcification detection using fuzzy logic technique
    H D Cheng
    Department of Computer Science, Utah State University, Logan 84322, USA
    IEEE Trans Med Imaging 17:442-50. 1998
    ..In this study, a novel approach to microcalcification detection based on fuzzy logic technique is presented. Microcalcifications are first enhanced based on their brightness and nonuniformity...
  88. ncbi Medical image analysis with fuzzy models
    J C Bezdek
    Department of Computer Science, University of West Florida, Pensacola 32514, USA
    Stat Methods Med Res 6:191-214. 1997
    ..We do not cover methods based on neural-like networks or fuzzy reasoning systems. These topics are covered in a recently published companion survey by keller et al...
  89. ncbi Increasing the efficiency of fuzzy logic-based gene expression data analysis
    Habtom Ressom
    Intelligent Systems Laboratory, Department of Electrical and Computer Engineering, University of Maine, Orono, Maine 04469, USA
    Physiol Genomics 13:107-17. 2003
    ..b>Fuzzy logic" has been proposed as a method to analyze the relationships between genes and help decipher a genetic network...
  90. ncbi Fuzzy C-means method for clustering microarray data
    Doulaye Dembele
    Institut de Genetique et de Biologie Moleculaire et Cellulaire, CNRS IMSERM ULP, BP 10142, 67404 Illkirch Cedex, France
    Bioinformatics 19:973-80. 2003
    ..However, these methods do not provide information about the influence of a given gene for the overall shape of clusters. Here we apply a fuzzy partitioning method, Fuzzy C-means (FCM), to attribute cluster membership values to genes...
  91. ncbi Defining the expert ICU nurse
    Martin Christensen
    Bournemouth University, Nursing Studies, Bournemouth House, Christchurch Road, Bournemouth BH1 3LT, UK
    Intensive Crit Care Nurs 22:301-7. 2006
    ..The principles of abduction or fuzzy logic, derived from computer science, may be useful in assisting nurses to explain in terms, which others can ..
  92. doi Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents
    Elif Derya Ubeyli
    Department of Electrical and Electronics Engineering, Faculty of Engineering, TOBB Ekonomi ve Teknoloji Universitesi, 06530 Sogutozu, Ankara, Turkey
    Comput Methods Programs Biomed 93:313-21. 2009
    ..The proposed ANFIS model combined the neural network adaptive capabilities and the fuzzy logic qualitative approach...
  93. ncbi Morphology and morphometry of human chronic spinal cord injury using diffusion tensor imaging and fuzzy logic
    Benjamin M Ellingson
    Department of Biomedical Engineering, Marquette University, P O Box 1881, Milwaukee, WI 53201 1881, USA
    Ann Biomed Eng 36:224-36. 2008
    ..Apparent diffusion coefficients were measured and compared between subjects. A fuzzy logic tissue classification algorithm was used to segment gray and white matter regions for morphometric analysis, ..
  94. ncbi Rule-base derivation for intensive care ventilator control using ANFIS
    H F Kwok
    Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK
    Artif Intell Med 29:185-201. 2003
    ..852, 0.962 and 0.787, respectively). The FAVeM's performance differed from the clinicians' performance (correlation coefficient of 0.332) but the resulting PaO(2) was still within safety limits...
  95. ncbi Fuzzy cluster analysis of high-field functional MRI data
    Christian Windischberger
    NMR Group, Institute for Medical Physics, University of Vienna, Wahringerstrasse 13, A 1090 Vienna, Austria
    Artif Intell Med 29:203-23. 2003
    ....
  96. ncbi Prediction of protein subcellular locations using fuzzy k-NN method
    Ying Huang
    State Key Laboratory of Intelligent Technology and Systems, Department of Automation, Institute of Bioinformatics, Tsinghua University, Beijing 100084, People s Republic of China
    Bioinformatics 20:21-8. 2004
    ..Protein localization data are a valuable information resource helpful in elucidating protein functions. It is highly desirable to predict a protein's subcellular locations automatically from its sequence...
  97. ncbi Measurement of trabecular bone thickness in the limited resolution regime of in vivo MRI by fuzzy distance transform
    Punam K Saha
    Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Fourth Floor, Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104 6021, USA
    IEEE Trans Med Imaging 23:53-62. 2004
    ..Finally, with in vivo micro-MR images from a prior study in rabbits subjected to corticosteroid exposure, it is demonstrated that short-term treatment resulting in trabecular thinning can be quantified with the new method...
  98. ncbi Controlling the false positive rate in fuzzy clustering using randomization: application to fMRI activation detection
    Hesamoddin Jahanian
    Control and Intelligent Processing Center of Excellence, Electrical and Computer Engineering Department, Faculty of Engineering, University of Tehran, Tehran, Iran
    Magn Reson Imaging 22:631-8. 2004
    ....
  99. ncbi Incorporating qualitative knowledge in enzyme kinetic models using fuzzy logic
    B Lee
    Department of Computer Science, Texas A and M University, College Station, USA
    Biotechnol Bioeng 62:722-9. 1999
    ..This strategy uses fuzzy logic-based factors to modify algebraic rate laws that account for partial kinetic characteristics...
  100. ncbi Method to correct intensity inhomogeneity in MR images for atherosclerosis characterization
    Olivier Salvado
    Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44122, USA
    IEEE Trans Med Imaging 25:539-52. 2006
    ..In conclusion, we believe that the correction method shows promise for aiding human and computerized tissue classification from MR signal intensities...
  101. ncbi Takagi-Sugeno fuzzy-model-based fault detection for networked control systems with Markov delays
    Ying Zheng
    IEEE Trans Syst Man Cybern B Cybern 36:924-9. 2006
    ..An example of a two-link inverted pendulum is used to illustrate the utility and viability of the proposed approaches...

Research Grants87

  1. A BREATH TEST FOR LUNG CANCER
    Michael Phillips; Fiscal Year: 2007
    ..In a study of 451 subjects, a two-minute breath test for VOC biomarkers of lung cancer combined with fuzzy logic analysis of data predicted all TNM stages of disease with 84.6% sensitivity, 80.0% specificity and 0...
  2. A BREATH TEST FOR LUNG CANCER
    Michael Phillips; Fiscal Year: 2009
    ..In a study of 451 subjects, a two-minute breath test for VOC biomarkers of lung cancer combined with fuzzy logic analysis of data predicted all TNM stages of disease with 84.6% sensitivity, 80.0% specificity and 0...
  3. Investigating Speech Disorders with Emerging Algorithms
    ANTHONY SALVATORE; Fiscal Year: 2003
    ..it is in our plan to develop an expert system based upon the use of recent advances in neural networks, fuzzy logic and other computational algorithms...
  4. ESTROGENS & COGNITION IN FEMALE RHESUS MONKEYS
    AGNES LACREUSE; Fiscal Year: 2000
    ..Our research supports this prediction and suggests that a multi-valued or fuzzy logic system, one with more than two truth values, might provide a more realistic way to conceptualize the ..
  5. ONTOGENY & FUNCTION OF PRIMATE VOCAL COMMUNICATION
    Harold Gouzoules; Fiscal Year: 1999
    ..Our research supports this prediction and suggests that a multi-valued or fuzzy logic system, one with more than two truth values, might provide a more realistic way to conceptualize the ..
  6. Multifunction Prosthesis Control using Implanted Sensors
    Richard Weir; Fiscal Year: 2003
    ..A definitive design is anticipated to be ready for final testing and tweaking by the middle of year 4. The final year will be spent conducting the final systems integration. ..
  7. Multifunction Prosthesis Control using Implanted Sensors
    Richard Weir; Fiscal Year: 2007
    ..A definitive design is anticipated to be ready for final testing and tweaking by the middle of year 4. The final year will be spent conducting the final systems integration. ..
  8. Multifunction Prosthesis Control using Implanted Sensors
    Richard Weir; Fiscal Year: 2004
    ..A definitive design is anticipated to be ready for final testing and tweaking by the middle of year 4. The final year will be spent conducting the final systems integration. ..
  9. Multifunction Prosthesis Control using Implanted Sensors
    Richard Weir; Fiscal Year: 2006
    ..A definitive design is anticipated to be ready for final testing and tweaking by the middle of year 4. The final year will be spent conducting the final systems integration. ..
  10. Multifunction Prosthesis Control using Implanted Sensors
    Richard Weir; Fiscal Year: 2006
    ..A definitive design is anticipated to be ready for final testing and tweaking by the middle of year 4. The final year will be spent conducting the final systems integration. ..
  11. Multifunction Prosthesis Control using Implanted Sensors
    Richard Weir; Fiscal Year: 2005
    ..A definitive design is anticipated to be ready for final testing and tweaking by the middle of year 4. The final year will be spent conducting the final systems integration. ..
  12. Peptide Biomarker Discovery by Mass Spectrometry for Early Detection of Liver Can
    Habtom Ressom; Fiscal Year: 2009
    ..The specific aims are the following: (1) To develop fuzzy logic based methods to detect and calibrate MS peaks...
  13. VOLATILE MARKERS OF PULMONARY TUBERCULOSIS IN THE BREATH
    Michael Phillips; Fiscal Year: 2005
    ..1% sensitivity and 95.1% specificity. Fuzzy logic analysis of breath VOCs predicted active pulmonary tuberculosis infection with sensitivity = 100% and ..
  14. Cross-frequency integration for speech recognition in bimodal hearing
    Ying Yee Kong; Fiscal Year: 2010
    ..We will apply several well-developed speech integration models, including a simple probabilistic model, Fuzzy Logic Model of Perception, and Pre-Labeling and Post- Labeling models to predict intelligibility scores for combined ..
  15. Cross-frequency integration for speech recognition in bimodal hearing
    Ying Yee Kong; Fiscal Year: 2009
    ..We will apply several well-developed speech integration models, including a simple probabilistic model, Fuzzy Logic Model of Perception, and Pre-Labeling and Post- Labeling models to predict intelligibility scores for combined ..
  16. Cross-frequency integration for speech recognition in bimodal hearing
    Ying Yee Kong; Fiscal Year: 2009
    ..We will apply several well-developed speech integration models, including a simple probabilistic model, Fuzzy Logic Model of Perception, and Pre-Labeling and Post- Labeling models to predict intelligibility scores for combined ..
  17. PORTABLE DEFIBRILLATOR FUZZY-LOGIC-BASED BATTERY METER
    Pritpal Singh; Fiscal Year: 2002
    ..University are collaborating in the pioneering development of an innovative, powerful approach, based on fuzzy logic, to battery SOC and SOH determination that is reliable, accurate, and economical...
  18. PORTABLE DEFIBRILLATOR FUZZY-LOGIC-BASED BATTERY METER
    Pritpal Singh; Fiscal Year: 2003
    ..University are collaborating in the pioneering development of an innovative, powerful approach, based on fuzzy logic, to battery SOC and SOH determination that is reliable, accurate, and economical...
  19. PORTABLE DEFIBRILLATOR FUZZY-LOGIC-BASED BATTERY METER
    CRAIG FENNIE; Fiscal Year: 2000
    ..and Villanova are collaborating in the pioneering development of an innovative powerful approach, based on fuzzy logic, to battery SOC and SOH determination that is both reliable and cost effective...
  20. Automatic Detection of Critical Dermoscopy Features for Melanoma Diagnosis
    William Stoecker; Fiscal Year: 2007
    ..of a probability density function to specify single and paired melanoma colors via cluster methods and fuzzy logic techniques 4) identifying critical structural features including brown globules, abrupt border cutoff, ..
  21. Automatic Detection of Critical Dermoscopy Features for Melanoma Diagnosis
    William Stoecker; Fiscal Year: 2006
    ..of a probability density function to specify single and paired melanoma colors via cluster methods and fuzzy logic techniques 4) identifying critical structural features including brown globules, abrupt border cutoff, ..
  22. DETECTING SITES AT RISK OF BECOMING FOCI OF LYME DISEASE
    JEFFREY MILLSTEIN; Fiscal Year: 1992
    ..The investigator's approach is to implement fuzzy logic inferencing procedures as computer software so that these techniques can be applied to a public health problem ..
  23. Detection of chewing and swallowing to estimate eating patterns and energy intake
    Edward Sazonov; Fiscal Year: 2006
    ..Modern methods of computational intelligence such as artificial neural networks and fuzzy logic will be used along with statistical methods to achieve the highest 'accuracy of pattern recognition...
  24. Detection of chewing and swallowing to estimate eating patterns and energy intake
    Edward Sazonov; Fiscal Year: 2005
    ..Modern methods of computational intelligence such as artificial neural networks and fuzzy logic will be used along with statistical methods to achieve the highest 'accuracy of pattern recognition...
  25. LiverTox: Advanced QSAR and Toxicogenomic Software for Hepatoxicity Prediction
    JOHN WASSOM; Fiscal Year: 2005
    ..to each make toxicity endpoint predictions drawing upon its knowledge base and its similarity analysis/fuzzy logic/statistical training...
  26. LiverTox: Advanced QSAR and Toxicogenomic Software for Hepatoxicity Prediction
    KATHERINE YURACKO; Fiscal Year: 2007
    ..to each make toxicity endpoint predictions drawing upon its knowledge base and its similarity analysis/fuzzy logic/statistical training...
  27. LiverTox: Advanced QSAR and Toxicogenomic Software for Hepatoxicity Prediction
    KATHERINE YURACKO; Fiscal Year: 2006
    ..to each make toxicity endpoint predictions drawing upon its knowledge base and its similarity analysis/fuzzy logic/statistical training...
  28. Identification of Critical Dermoscopic Features
    William Stoecker; Fiscal Year: 2003
    ..representation of a probability density function to specify melanoma colors via cluster methods and fuzzy logic techniques 3) identifying critical structural features including brown globules, abrupt border cutoff, ..
  29. AUTOMATED RESPIRATORY EVENT SCORING SYSTEM
    AMY BRISBEN; Fiscal Year: 2001
    ..Using neural network and fuzzy logic technology, the algorithms will implement the somnologist's criteria and his preferred recording montage...
  30. AUTOMATED SLEEP STAGING FOR LABORATORY AND PORTABLE USE
    ALEX MENKES; Fiscal Year: 1999
    ..described in Rechtschaffen and Kales' manual for sleep staging using a combination of neural network and fuzzy logic signal processing technology...
  31. PHASE RESETTING AND SENSORY INHIBITION IN THE CNS
    Nashaat Boutros; Fiscal Year: 1999
    ..Utilizing a fuzzy logic technique (that was developed by this group) evoked potential data containing the P50 mid-latency auditory ..
  32. PHASE RESETTING AND SENSORY INHIBITION IN THE CNS
    Nashaat Boutros; Fiscal Year: 2004
    ..Finally, we will demonstrate that both processes are deficient in schizophrenia patients. Utilizing a fuzzy logic technique and a single trial analysis method (both developed by this group) evoked potential data containing ..
  33. PHASE RESETTING AND SENSORY INHIBITION IN THE CNS
    Nashaat Boutros; Fiscal Year: 2003
    ..Finally, we will demonstrate that both processes are deficient in schizophrenia patients. Utilizing a fuzzy logic technique and a single trial analysis method (both developed by this group) evoked potential data containing ..
  34. PHASE RESETTING AND SENSORY INHIBITION IN THE CNS
    Nashaat Boutros; Fiscal Year: 2002
    ..Finally, we will demonstrate that both processes are deficient in schizophrenia patients. Utilizing a fuzzy logic technique and a single trial analysis method (both developed by this group) evoked potential data containing ..
  35. PHASE RESETTING AND SENSORY INHIBITION IN THE CNS
    Nashaat Boutros; Fiscal Year: 2005
    ..Finally, we will demonstrate that both processes are deficient in schizophrenia patients. Utilizing a fuzzy logic technique and a single trial analysis method (both developed by this group) evoked potential data containing ..
  36. PHASE RESETTING AND SENSORY INHIBITION IN THE CNS
    Nashaat Boutros; Fiscal Year: 2003
    ..Finally, we will demonstrate that both processes are deficient in schizophrenia patients. Utilizing a fuzzy logic technique and a single trial analysis method (both developed by this group) evoked potential data containing ..
  37. BIOPHYSICAL STUDIES OF FOLDING MUTANTS OF STAPH NUCLEASE
    David Shortle; Fiscal Year: 1999
    ..in staph nuclease will be developed, refined, and tested by building upon the extensive mutant database already in hand and by employing mathematical techniques such as statistical factor analysis, neural networks and fuzzy logic.
  38. VOLATILE MARKERS OF ORAL MALODOR IN THE BREATH
    Michael Phillips; Fiscal Year: 2004
    ....
  39. VOLATILE MARKERS OF PULMONARY TUBERCULOSIS IN THE BREATH
    Michael Phillips; Fiscal Year: 2006
    ..1% sensitivity and 95.1% specificity. Fuzzy logic analysis of breath VOCs predicted active pulmonary tuberculosis infection with sensitivity = 100% and ..
  40. A BREATH TEST FOR LUNG CANCER
    Michael Phillips; Fiscal Year: 2008
    ..In a study of 451 subjects, a two-minute breath test for VOC biomarkers of lung cancer combined with fuzzy logic analysis of data predicted all TNM stages of disease with 84.6% sensitivity, 80.0% specificity and 0...
  41. A Multiethnic Internet Study on Menopausal Symptoms
    Eun Ok Im; Fiscal Year: 2008
    ....
  42. Distributed, Collaborative Intelligent Agents for Proactive Post-Marketing Drug S
    Hao Ying; Fiscal Year: 2008
    ..S. were attributed to ADRs). ..
  43. Ethnic Specific Midlife Women's Attitudes Toward Physical Activity
    Eun Ok Im; Fiscal Year: 2009
    ..S., by directing the development of physical activity promotion programs that can serve ethnic minority midlife women through the Internet. ..
  44. Cancer Pain Management-Decision Support Computer Program
    Eun Ok Im; Fiscal Year: 2006
    ..Using theoretical triangulation, a feminist approach and fuzzy logic will guide the research process...
  45. Ethnic Specific Midlife Women's Attitudes Toward Physical Activity
    Eun Ok Im; Fiscal Year: 2007
    ..S., by directing the development of physical activity promotion programs that can serve ethnic minority midlife women through the Internet. ..
  46. A Multiethnic Internet Study on Menopausal Symptoms
    Eun Ok Im; Fiscal Year: 2006
    ....
  47. Cancer Pain Management-Decision Support Computer Program
    Eun Ok Im; Fiscal Year: 2007
    ..Using theoretical triangulation, a feminist approach and fuzzy logic will guide the research process...
  48. A Multiethnic Internet Study on Menopausal Symptoms
    Eun Ok Im; Fiscal Year: 2006
    ....
  49. PERCEPTION OF VISIBLE AND BIMODAL SPEECH
    DOMINIC MASSARO; Fiscal Year: 2002
    ..abstract_text> ..
  50. PERCEPTION OF VISIBLE AND BIMODAL SPEECH
    DOMINIC MASSARO; Fiscal Year: 2001
    ..abstract_text> ..
  51. PERCEPTION OF VISIBLE AND BIMODAL SPEECH
    DOMINIC MASSARO; Fiscal Year: 2000
    ..abstract_text> ..
  52. SYNTHESIS, ANALYSIS, AND PERCEPTION OF VISIBLE SPEECH
    DOMINIC MASSARO; Fiscal Year: 1993
    ....
  53. PERCEPTION OF VISIBLE AND BIMODAL SPEECH
    DOMINIC MASSARO; Fiscal Year: 2003
    ..abstract_text> ..
  54. SYNTHESIS, ANALYSIS, AND PERCEPTION OF VISIBLE SPEECH
    DOMINIC MASSARO; Fiscal Year: 1992
    ....
  55. Cancer Pain Management-Decision Support Computer Program
    Eun Ok Im; Fiscal Year: 2005
    ..Using theoretical triangulation, a feminist approach and fuzzy logic will guide the research process...
  56. SYNTHESIS, ANALYSIS, AND PERCEPTION OF VISIBLE SPEECH
    DOMINIC MASSARO; Fiscal Year: 1991
    ....
  57. Ethnic Specific Midlife Women's Attitudes Toward Physical Activity
    Eun Ok Im; Fiscal Year: 2010
    ..S., by directing the development of physical activity promotion programs that can serve ethnic minority midlife women through the Internet. ..
  58. Cancer Pain Management-Decision Support Computer Program
    Eun Ok Im; Fiscal Year: 2003
    ..Using theoretical triangulation, a feminist approach and fuzzy logic will guide the research process...
  59. PERCEPTION OF VISIBLE AND BIMODAL SPEECH
    DOMINIC MASSARO; Fiscal Year: 2003
    ..abstract_text> ..
  60. Cancer Pain Management-Decision Support Computer Program
    Eun Ok Im; Fiscal Year: 2004
    ..Using theoretical triangulation, a feminist approach and fuzzy logic will guide the research process...
  61. PERCEPTION OF VISIBLE AND BIMODAL SPEECH
    DOMINIC MASSARO; Fiscal Year: 2004
    ..abstract_text> ..
  62. A Treatment Decision Modeling and Optimizing Technology
    Hao Ying; Fiscal Year: 2005
    ..It can be used to objectively and quantitatively analyze and compare different treatment options and selections, either prospectively or retrospectively. ..
  63. A Multiethnic Internet Study on Menopausal Symptoms
    Eun Ok Im; Fiscal Year: 2007
    ....
  64. PERCEPTUAL PROCESSING AND RECOGNITION OF SPEECH
    DOMINIC MASSARO; Fiscal Year: 1990
    ....
  65. FLUOXETINE AS A QUIT SMOKING AID FOR DEPRESSION PRONE
    Bonnie Spring; Fiscal Year: 1999
    ....
  66. Make Better Choices (MBC) - Multiple Behavior Change in Diet and Activity
    Bonnie Spring; Fiscal Year: 2010
    ..The proposed trial tests whether Make Better Choices treatment improves diet and activity more than stress management does and whether it is better to add new lifestyle goals all at once or one after another. ..
  67. Multiple Behavior Change in Diet and Activity
    Bonnie Spring; Fiscal Year: 2005
    ..Findings will help to fill an important gap in clinical knowledge about how to optimize healthy simultaneous change in diet and activity among adults. ..
  68. Make Better Choices (MBC) - Multiple Behavior Change in Diet and Activity
    Bonnie Spring; Fiscal Year: 2010
    ..The proposed trial tests whether Make Better Choices treatment improves diet and activity more than stress management does and whether it is better to add new lifestyle goals all at once or one after another. ..
  69. Multiple Behavior Change in Diet and Activity
    Bonnie Spring; Fiscal Year: 2004
    ..Findings will help to fill an important gap in clinical knowledge about how to optimize healthy simultaneous change in diet and activity among adults. ..
  70. Multiple Behavior Change in Diet and Activity
    Bonnie Spring; Fiscal Year: 2006
    ..Findings will help to fill an important gap in clinical knowledge about how to optimize healthy simultaneous change in diet and activity among adults. ..
  71. CARBOHYDRATE CRAVING: BEHAVIOR/PSYCHOBIOLOGICAL FEATURES
    Bonnie Spring; Fiscal Year: 2001
    ..Results will indicate whether CHO cravers show an increased family prevalence of diabetes and display evidence of insulin resistance and blunting of the expected rise in the tryptophan ratio and leptin concentration after CHO intake. ..
  72. FLUOXETINE AS A QUIT SMOKING AID FOR DEPRESSION PRONE
    Bonnie Spring; Fiscal Year: 2001
    ....
  73. CARBOHYDRATE CRAVING: BEHAVIOR/PSYCHOBIOLOGICAL FEATURES
    Bonnie Spring; Fiscal Year: 2000
    ..Results will indicate whether CHO cravers show an increased family prevalence of diabetes and display evidence of insulin resistance and blunting of the expected rise in the tryptophan ratio and leptin concentration after CHO intake. ..
  74. FLUOXETINE AS A QUIT SMOKING AID FOR DEPRESSION PRONE
    Bonnie Spring; Fiscal Year: 2000
    ....
  75. CARBOHYDRATE CRAVING--BEHAVIOR/PSYCHOBIOLOGICAL FEATURES
    Bonnie Spring; Fiscal Year: 1999
    ..Results will indicate whether CHO cravers show an increased family prevalence of diabetes and display evidence of insulin resistance and blunting of the expected rise in the tryptophan ratio and leptin concentration after CHO intake. ..
  76. Multiple Behavior Change in Diet and Activity
    Bonnie Spring; Fiscal Year: 2007
    ..Findings will help to fill an important gap in clinical knowledge about how to optimize healthy simultaneous change in diet and activity among adults. ..
  77. ACCISS: Activating Collaborative CIS Support Services
    Bonnie Spring; Fiscal Year: 2007
    ..The study examines the impact on medical follow-up and provider-patient communication. [unreadable] [unreadable] [unreadable]..
  78. Decision-Assist and Closed-Loop Fluid Resuscitation of Burn-Injured Patients
    George Kramer; Fiscal Year: 2009
    ..Because the computer can monitor the patient on a minute-by- minute basis without error, there is less chance of complications due to under-resuscitation or fluid overload. ..
  79. Decision-Assist and Closed-Loop Fluid Resuscitation of Burn-Injured Patients
    George Kramer; Fiscal Year: 2008
    ..Because the computer can monitor the patient on a minute-by- minute basis without error, there is less chance of complications due to under-resuscitation or fluid overload. ..