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. 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
  2. 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
  3. 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
  4. ncbi Bioimpedance-based identification of malnutrition using fuzzy logic
    S Wieskotten
    Technische Universitat Darmstadt, Institute of Automatic Control, Darmstadt, Germany
    Physiol Meas 29:639-54. 2008
  5. pmc Efficient fuzzy C-means architecture for image segmentation
    Hui Ya Li
    Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei 116, Taiwan
    Sensors (Basel) 11:6697-718. 2011
  6. pmc Classification of the severity of diabetic neuropathy: a new approach taking uncertainties into account using fuzzy logic
    Andreja P Picon
    Faculdade de Medicina da Universidade de Sao Paulo, Physical Therapy, Speech and Occupational Therapy Department, Brazil
    Clinics (Sao Paulo) 67:151-6. 2012
  7. ncbi 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
  8. ncbi Adaptive fuzzy segmentation of magnetic resonance images
    D L Pham
    Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
    IEEE Trans Med Imaging 18:737-52. 1999
  9. ncbi Clinical signs of pneumonia in children: association with and prediction of diagnosis by fuzzy sets theory
    J C R Pereira
    Departamento de Epidemiologia, Hospital das Clinicas, Faculdade de Saude Publica, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
    Braz J Med Biol Res 37:701-9. 2004
  10. ncbi 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

Detail Information

Publications361 found, 100 shown here

  1. 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
    ....
  2. 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 ..
  3. 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...
  4. ncbi Bioimpedance-based identification of malnutrition using fuzzy logic
    S Wieskotten
    Technische Universitat Darmstadt, Institute of Automatic Control, Darmstadt, Germany
    Physiol Meas 29:639-54. 2008
    ..The differences are evaluated by a fuzzy logic system or a decision tree in order to identify malnourished patients...
  5. pmc Efficient fuzzy C-means architecture for image segmentation
    Hui Ya Li
    Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei 116, Taiwan
    Sensors (Basel) 11:6697-718. 2011
    ..Experimental results show that the the proposed circuit is an effective alternative for real-time image segmentation with low area cost and low misclassification rate...
  6. pmc Classification of the severity of diabetic neuropathy: a new approach taking uncertainties into account using fuzzy logic
    Andreja P Picon
    Faculdade de Medicina da Universidade de Sao Paulo, Physical Therapy, Speech and Occupational Therapy Department, Brazil
    Clinics (Sao Paulo) 67:151-6. 2012
    ..This study proposes a new approach that considers uncertainty in predicting and quantifying the presence and severity of diabetic peripheral neuropathy...
  7. ncbi 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...
  8. ncbi Adaptive fuzzy segmentation of magnetic resonance images
    D L Pham
    Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
    IEEE Trans Med Imaging 18:737-52. 1999
    ..Its efficacy is further demonstrated using real 3-D scalar and multispectral MR brain images...
  9. ncbi Clinical signs of pneumonia in children: association with and prediction of diagnosis by fuzzy sets theory
    J C R Pereira
    Departamento de Epidemiologia, Hospital das Clinicas, Faculdade de Saude Publica, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
    Braz J Med Biol Res 37:701-9. 2004
    ..The conclusion is that even though fuzzy sets theory might not improve prediction, it certainly does enhance clinical knowledge since it detects relationships not visible to stochastic models...
  10. ncbi 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...
  11. ncbi River restoration: the fuzzy logic of repairing reaches to reverse catchment scale degradation
    Emily S Bernhardt
    Department of Biology, Duke University, Durham, North Carolina 27708, USA
    Ecol Appl 21:1926-31. 2011
    ..Here we briefly summarize this new literature, including the collection of papers within this Invited Feature, and provide our perspective on the limitations of current restoration...
  12. ncbi 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 ..
  13. ncbi Integrating fuzzy logic and statistics to improve the reliable delimitation of biogeographic regions and transition zones
    Jesus Olivero
    Grupo de Biogeografía, Diversidad y Conservación, Departamento de Biologia Animal, Facultad de Ciencias, Universidad de Malaga, 29071 Malaga, Spain
    Syst Biol 62:1-21. 2013
    ..Compared with other classification procedures based on fuzzy sets, the novelty of our method is that both fuzzy logic and statistics are used together in a synergy in order to avoid arbitrary decisions in the definition of ..
  14. ncbi A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
    Dao Qiang Zhang
    Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, PR China
    Artif Intell Med 32:37-50. 2004
    ..Experimental results on both synthetic and real MR images show that the proposed algorithms have better performance when noise and other artifacts are present than the standard algorithms...
  15. 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...
  16. 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...
  17. 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...
  18. 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...
  19. ncbi 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
    ....
  20. 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...
  21. 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 ..
  22. 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...
  23. 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...
  24. 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...
  25. 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...
  26. pmc Segmentation and quantification of black holes in multiple sclerosis
    Sushmita Datta
    Department of Diagnostic and Interventional Imaging, University of Texas Medical School at Houston, 6431 Fannin Street, Houston, 77030, USA
    Neuroimage 29:467-74. 2006
    ..Fuzzy connectivity was used for the delineation of black holes. The performance of this algorithm was quantitatively evaluated on 14 MS patients...
  27. ncbi A fuzzy logic based-method for prognostic decision making in breast and prostate cancers
    Huseyin Seker
    Biomedical Computing Research Group BIOCORE, Coventry University, Coventry, UK
    IEEE Trans Inf Technol Biomed 7:114-22. 2003
    ..The aim of this paper is to investigate the fuzzy k-nearest neighbor (FK-NN) classifier as a fuzzy logic method that provides a certainty degree for prognostic decision and assessment of the markers, and to compare ..
  28. ncbi Improved sensitivity of fuzzy logic based tumor marker profiles for diagnosis of pancreatic carcinoma versus benign pancreatic disease
    U Halm
    Medizinische Klinik und Poliklinik II, Universitat Leipzig, 04103 Leipzig, Germany
    Anticancer Res 20:4957-60. 2000
    ..This study was performed to find out, whether a classification method based on fuzzy logic analysis of tumor marker profiles is feasible in patients with pancreatic carcinoma and benign pancreatic ..
  29. ncbi Reduction of interference in oscillometric arterial blood pressure measurement using fuzzy logic
    Chin Teng Lin
    Department of Electrical and Control Engineering, National Chiao Tung University, Hsinchu 300, Taiwan, ROC
    IEEE Trans Biomed Eng 50:432-41. 2003
    ..This method includes a fuzzy logic discriminator (FLD) and a recursive regression algorithm...
  30. ncbi Fuzzy logic model to describe anesthetic effect and muscular influence on EEG Cerebral State Index
    S Bras
    Institute of Electronics and Telematics Engineering of Aveiro IEETA, Universidade de Aveiro, Aveiro 3810 193, Portugal
    Res Vet Sci 94:735-42. 2013
    ..This work brings out two novelties: introduction of electromyogram (EMG) and use of fuzzy logic models with ANFIS optimized parameters...
  31. ncbi A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree
    Themis P Exarchos
    Unit of Medical Technology and Intelligent Information Systems, Department of Computer Science, University of Ioannina, GR 45110 Ioannina, Greece
    Artif Intell Med 40:187-200. 2007
    ..In the current work we propose a methodology for the automated creation of fuzzy expert systems, applied in ischaemic and arrhythmic beat classification...
  32. 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...
  33. ncbi Automated mechanical ventilation: adapting decision making to different disease states
    S Lozano-Zahonero
    Department of Biomedical Engineering, Furtwangen University, Villingen Schwenningen Campus, Jakob Kienzle Straße 17, Villingen Schwenningen, 78054, Germany
    Med Biol Eng Comput 49:349-58. 2011
    ..Thus, clinical knowledge can be extended, updated, and the resulting mechanical ventilation therapies can be individually adapted, analyzed, and evaluated...
  34. ncbi Automated segmentation of multiple sclerosis lesions in multispectral MR imaging using fuzzy clustering
    A O Boudraa
    L2T1, Institut Galilee, Universite Paris 13, Villetanneuse, France
    Comput Biol Med 30:23-40. 2000
    ..Any lesion size found to be less than an input bound is eliminated from consideration. Results are presented for test runs of the method on 10 patients. Finally, the potential of the method as well as its limitations are discussed...
  35. ncbi Fuzzy logic and its applications in medicine
    N H Phuong
    Institute of Information Technology, National Center for Natural Science and Technology of Vietnam, Vien Cong Nghe Thong Tin, Nghia Do, Q Cau Giay, Hanoi, Viet Nam
    Int J Med Inform 62:165-73. 2001
    Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledge-based systems in medicine for tasks such as the interpretation of sets of medical findings, syndrome differentiation in Eastern medicine,..
  36. ncbi Posture recognition based on fuzzy logic for home monitoring of the elderly
    Damien Brulin
    IMS Laboratory, University of Bordeaux 1, Talence, France
    IEEE Trans Inf Technol Biomed 16:974-82. 2012
    ..The posture recognition method, based on fuzzy logic, identifies four static postures and is robust to variation in the distance between the camera and the person, ..
  37. ncbi Design of a fuzzy-based decision support system for coronary heart disease diagnosis
    Adel Lahsasna
    Faculty of Computer Science and Information of Technology, University of Malaya, Kuala Lumpur, Malaysia
    J Med Syst 36:3293-306. 2012
    ..Furthermore, employing ECS has specifically improved the ability of FRBS to detect patients with CHD which is desirable feature for any CHD diagnosis system...
  38. ncbi Integration of fuzzy logic and structure tensor towards mammogram contrast enhancement
    Jianmin Jiang
    School of Informatics, University of Bradford, BD7 1DP Bradford, UK
    Comput Med Imaging Graph 29:83-90. 2005
    In this paper, we describe a combined approach with fuzzy logic and structure tensor towards improved enhancement of possible MCs (microcalcifications) in digital mammograms...
  39. ncbi Neuro-fuzzy classification of prostate cancer using NEFCLASS-J
    Ayturk Keles
    Department of Computer Engineering, Faculty of Engineering, Ataturk University, 25240 Erzurum, Turkey
    Comput Biol Med 37:1617-28. 2007
    ..After a good classifier has been found, other parameters should be investigated to improve this classifier. In the light of this study, we can present a foresight for the diagnosis of the patients with prostate cancer or BPH...
  40. ncbi Towards an accurate and robust method based on fuzzy logic principles for the reconstruction and quantification of large volumes from MR and CT images
    J M Caudrelier
    Department of Radiation Oncology, Ottawa Hospital Regional Cancer Centre, Ottawa, Canada
    Br J Radiol 82:228-34. 2009
    ..have previously evaluated a new method of volume reconstruction and quantification from MR images, based on fuzzy logic (FL) principles...
  41. ncbi Fuzzy least squares support vector machines for multiclass problems
    Daisuke Tsujinishi
    Graduate School of Science and Technology, Kobe University, Rokkodai, Nada, Kobe, Japan
    Neural Netw 16:785-92. 2003
    ..Using some benchmark data sets, we show that recognition performance of fuzzy LS-SVMs with the minimum operator is comparable to that of fuzzy SVMs, but fuzzy LS-SVMs with the average operator showed inferior performance...
  42. ncbi User-based motion sensing and fuzzy logic for automated fall detection in older adults
    Patrick Boissy
    Research Centre on Aging, Sherbrooke Geriatric University Institute, Department of Kinesiology, FEPS, Universite de Sherbrooke, Sherbrooke, Quebec, Canada
    Telemed J E Health 13:683-93. 2007
    ..Automated detection of fall events based on user-based motion sensing and fuzzy logic shows promising results...
  43. ncbi Pairwise ANFIS approach to determining the disorder degree of obstructive sleep apnea syndrome
    Kemal Polat
    Electrical and Electronics Engineering Department, Selcuk University, 42035 Konya, Turkey
    J Med Syst 32:379-87. 2008
    ..Combining ANFIS and one against all method that is firstly proposed by us was firstly applied for diagnosing the OSAS. The proposed method has produced very promising results in the detecting the obstructive sleep apnea syndrome...
  44. ncbi A framework for fuzzy expert system creation--application to cardiovascular diseases
    Markos G Tsipouras
    Unit of Medical Technology and Intelligent Information Systems, Department of Computer Science, University of Ioannina, GR 45110 Ioannina, Greece
    IEEE Trans Biomed Eng 54:2089-105. 2007
    ..Also, the ability to interpret the decisions of the created fuzzy expert systems is a major advantage compared to "black box" approaches, such as neural networks and other techniques...
  45. ncbi Is it useful to have a clear-cut definition of life? On the use of fuzzy logic in prebiotic chemistry
    Gilles Bruylants
    Ingénierie Moléculaire et Biomoléculaire, Universite Libre de Bruxelles, Belgium, 50 Av F D Roosevelt, 1050 Brussels, Belgium
    Orig Life Evol Biosph 40:137-43. 2010
    ..b>Fuzzy logic provides a natural way to deal with problems where class membership lacks sharply defined criteria...
  46. ncbi The control of blood glucose in the critical diabetic patient: a neuro-fuzzy method
    D Dazzi
    Cattedra di Endocrinologia, Dipartimento di Medicina, Universita' di Parma, Parma, Italy
    J Diabetes Complications 15:80-7. 2001
    ..Thus, we applied fuzzy logic principles and neural network techniques to modify intravenous insulin administration rates during glucose ..
  47. ncbi A fuzzy logic approach to marine spatial management
    Lydia C L Teh
    Fisheries Centre, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T1Z4, Canada
    Environ Manage 47:536-45. 2011
    ..We propose a fuzzy logic framework that will facilitate this task- The protected area suitability index (PASI) combines fishers' spatial ..
  48. pmc Proposed clinical application for tuning fuzzy logic controller of artificial pancreas utilizing a personalization factor
    Richard Mauseth
    Division of Pediatric Endocrinology, Department of Pediatrics, University of Washington, Seattle, Washington, USA
    J Diabetes Sci Technol 4:913-22. 2010
    ..Physicians tailor insulin dosing based on blood glucose goals, response to insulin, compliance, lifestyle, eating habits, daily schedule, and fear of and ability to detect hypoglycemia...
  49. ncbi A fuzzy clustering based segmentation system as support to diagnosis in medical imaging
    F Masulli
    Istituto Nazionale per la Fisica della Materia and Dipartimento di Informatica e Scienze dell Informazio ne, Universita di Genova, Italy
    Artif Intell Med 16:129-47. 1999
    ..Furthermore, a discussion is presented about the role of fuzzy clustering as a support to diagnosis in medical imaging...
  50. ncbi 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 ..
  51. 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...
  52. 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...
  53. 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...
  54. 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 ..
  55. ncbi 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...
  56. ncbi 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...
  57. 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...
  58. 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...
  59. 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...
  60. 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)...
  61. 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...
  62. 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...
  63. 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.
  64. 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...
  65. 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 ..
  66. 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...
  67. 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...
  68. 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...
  69. 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 ..
  70. 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
  71. ncbi 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...
  72. ncbi Probabilistic and fuzzy logic in the clinical diagnosis
    L Pagliaro
    Intern Emerg Med 2:75; discussion 100-6. 2007
  73. 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
    ....
  74. 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
    ....
  75. 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.
  76. ncbi Application of fuzzy logic in automated cow status monitoring
    R M de Mol
    Institute of Agricultural and Environmental Engineering IMAG, Wageningen, The Netherlands
    J Dairy Sci 84:400-10. 2001
    ..The occurrence of false-positive alerts, generated by a detection model, creates problems in practice. We used fuzzy logic to classify mastitis and estrus alerts; our objective was to reduce the number of false-positive alerts and not ..
  77. ncbi Fuzzy logic control for intracranial pressure via continuous propofol sedation in a neurosurgical intensive care unit
    Sheng Jean Huang
    Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan
    Med Eng Phys 28:639-47. 2006
    ..and mechanical ventilation in order to reduce the effect of agitation on intracranial pressure (ICP) using fuzzy logic control in a neurosurgical intensive care unit (NICU)...
  78. 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...
  79. 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 ..
  80. ncbi Applying fuzzy logic to medical decision making in the intensive care unit
    Jason H T Bates
    HSRF, Room 228, University of Vermont, 149 Beaumont Avenue, Burlington, VT 05405 0075, USA
    Am J Respir Crit Care Med 167:948-52. 2003
  81. 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...
  82. ncbi Comparison of the applicability of rule-based and self-organizing fuzzy logic controllers for sedation control of intracranial pressure pattern in a neurosurgical intensive care unit
    Jiann Shing Shieh
    Department of Mechanical Engineering, Yuan Ze University, Chung Li, Taoyuan, Taiwan
    IEEE Trans Biomed Eng 53:1700-5. 2006
    This paper assesses the controller performance of a self-organizing fuzzy logic controller (SOFLC) in comparison with a routine clinical rule-base controller (RBC) for sedation control of intracranial pressure (ICP) pattern...
  83. 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 ..
  84. 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...
  85. 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...
  86. 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 ..
  87. 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)...
  88. 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...
  89. 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...
  90. 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...
  91. 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...
  92. ncbi Evidence-based medicine or fuzzy logic: what is best for ARDS management?
    Didier Dreyfuss
    Intensive Care Med 28:230-4. 2002
  93. ncbi 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 ..
  94. 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...
  95. 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...
  96. 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...
  97. 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...
  98. 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.
  99. 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...
  100. 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...
  101. 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 ..

Research Grants33

  1. Advanced Hypoglycemia Prevention Capabilities in Fuzzy Logic Artificial Pancreas
    Richard Mauseth; Fiscal Year: 2012
    ..g., unmeasured meal size and frequent insulin sensitivity variations. Model-free approaches, such as fuzzy logic (FL) control offer a different and promising direction for improved glycemic control...
  2. 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 ..
  3. 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...
  4. Computerized Orthotic Prescription System - COPS
    Toshiki Kobayashi; Fiscal Year: 2011
    ..The fuzzy logic algorithm for prediction of improper stiffness will be developed through input of data collected for known ..
  5. 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...
  6. 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...
  7. 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...
  8. 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, ..
  9. 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...
  10. 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, ..
  11. 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...
  12. 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...
  13. 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...
  14. DETECTING SITES AT RISK OF BECOMING FOCI OF LYME DISEASE
    JEFFREY MILLSTEIN; Fiscal Year: 1993
    ..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 ..
  15. 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 ..
  16. 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 ..
  17. VOLATILE MARKERS OF ORAL MALODOR IN THE BREATH
    Michael Phillips; Fiscal Year: 2004
    ....
  18. A Multiethnic Internet Study on Menopausal Symptoms
    Eun Ok Im; Fiscal Year: 2008
    ....
  19. 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...
  20. PERCEPTION OF VISIBLE AND BIMODAL SPEECH
    DOMINIC MASSARO; Fiscal Year: 2004
    ..abstract_text> ..
  21. 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. ..
  22. Modulation of T Cell Activation and Tolerance by DRAK2
    CRAIG MICHAEL WALSH; Fiscal Year: 2010
    ..These results are aimed at providing a more thorough understanding of negative regulation of T cell activation, and how such negative regulation contributes to immune tolerance. ..
  23. Preserving Privacy in Medical Data Sets
    Staal Vinterbo; Fiscal Year: 2008
    ..unreadable] (3) Evaluation of disclosure control algorithms. We will evaluate algorithms for disclosure control developed by our group and others using the tool described in (2). [unreadable] [unreadable] [unreadable]..
  24. Developmental Neurotoxicity of Phthalate Esters
    Bernard Weiss; Fiscal Year: 2008
    ..The proposed research will examine this question in rats, and translate its implications into human relevance. [unreadable] [unreadable] [unreadable]..
  25. Low dose digital X-rays for mammographic screening
    Christopher Vaughan; Fiscal Year: 2006
    ..During the last 6 months of the project in phase 2, we will conduct a limited clinical trial of 20 patients, focusing on comfort, breast coverage and diagnostic equivalence. ..
  26. Standardizing CT Assessment of Pulmonary Parenchyma
    Juerg Tschirren; Fiscal Year: 2006
    ..Developing AMFM into a screening tool to complement lung cancer screening for at-risk patients is another option we are exploring for the long-term. [unreadable] [unreadable]..
  27. Neurotoxic Interactions of Different Forms of Mercury
    Bernard Weiss; Fiscal Year: 2007
    ..The acquisition of these data offers a firm foundation for determining the risks to neurobehavioral development of concurrent exposures to both mercury species. ..
  28. Pulmonary Lobar Analysis by 3D Surface Detection
    Juerg Tschirren; Fiscal Year: 2007
    ..The proposed methods are urgently needed to take advantage of emerging therapies for the early treatment of lung disease. [unreadable] [unreadable] [unreadable]..
  29. Growth Regulation of Activated T Cells by FADD
    Craig Walsh; Fiscal Year: 2007
    ..abstract_text> ..
  30. 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]..
  31. 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. ..
  32. FLUOXETINE AS A QUIT SMOKING AID FOR DEPRESSION PRONE
    Bonnie Spring; Fiscal Year: 2001
    ....