decision trees

Summary

Summary: A graphic device used in decision analysis, series of decision options are represented as branches (hierarchical).

Top Publications

  1. ncbi Decision trees: an overview and their use in medicine
    Vili Podgorelec
    University of Maribor FERI, Slovenia
    J Med Syst 26:445-63. 2002
  2. ncbi Classification and regression tree analysis in public health: methodological review and comparison with logistic regression
    Stephenie C Lemon
    Brown University School of Medicine, USA
    Ann Behav Med 26:172-81. 2003
  3. ncbi Reducing the burden of childhood malaria in Africa: the role of improved
    Maria E Rafael
    RAND Corporation, 1776 Main Street, PO Box 2138, Santa Monica, California 90401 2138, USA
    Nature 444:39-48. 2006
  4. ncbi Predicting breast cancer survivability: a comparison of three data mining methods
    Dursun Delen
    Department of Management Science and Information Systems, Oklahoma State University, 700 North Greenwood Venue, Tulsa, OK 74106, USA
    Artif Intell Med 34:113-27. 2005
  5. pmc Cost-effectiveness of malaria diagnostic methods in sub-Saharan Africa in an era of combination therapy
    Samuel Shillcutt
    Andean Health and Development Saludesa, Quito, Ecuador
    Bull World Health Organ 86:101-10. 2008
  6. pmc Conditional variable importance for random forests
    Carolin Strobl
    Department of Statistics, Ludwig Maximilians Universitat Munchen, Ludwigstrasse 33, D 80539 Munchen, Germany
    BMC Bioinformatics 9:307. 2008
  7. ncbi Screening for chronic kidney disease: where does Europe go?
    Paul E de Jong
    Department of Medicine, Division of Nephrology, University Medical Center Groningen, Hanzeplein 1, 9713 EZ Groningen, Netherlands
    Clin J Am Soc Nephrol 3:616-23. 2008
  8. ncbi A decision tree for tuberculosis contact investigation
    Lynn B Gerald
    University of Alabama at Birmingham Lung Health Center, NHB 104, 619 19th Street South, Birmingham, AL 35249 7337, USA
    Am J Respir Crit Care Med 166:1122-7. 2002
  9. ncbi Seeing the trees despite the forest: applying recursive partitioning to the evaluation of drug treatment retention
    Gerhard Hellemann
    SIStat, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA 90024, USA
    J Subst Abuse Treat 36:59-64. 2009
  10. ncbi Decision tree and ensemble learning algorithms with their applications in bioinformatics
    Dongsheng Che
    Department of Computer Science, East Stroudsburg University, East Stroudsburg, PA 18301, USA
    Adv Exp Med Biol 696:191-9. 2011

Detail Information

Publications293 found, 100 shown here

  1. ncbi Decision trees: an overview and their use in medicine
    Vili Podgorelec
    University of Maribor FERI, Slovenia
    J Med Syst 26:445-63. 2002
    ..b>Decision trees are a reliable and effective decision making technique that provide high classification accuracy with a simple ..
  2. ncbi Classification and regression tree analysis in public health: methodological review and comparison with logistic regression
    Stephenie C Lemon
    Brown University School of Medicine, USA
    Ann Behav Med 26:172-81. 2003
    ..Classification and regression tree (C&RT) analysis is a nonparametric decision tree methodology that has the ability to efficiently segment populations into meaningful subgroups. However, it is not commonly used in public health...
  3. ncbi Reducing the burden of childhood malaria in Africa: the role of improved
    Maria E Rafael
    RAND Corporation, 1776 Main Street, PO Box 2138, Santa Monica, California 90401 2138, USA
    Nature 444:39-48. 2006
  4. ncbi Predicting breast cancer survivability: a comparison of three data mining methods
    Dursun Delen
    Department of Management Science and Information Systems, Oklahoma State University, 700 North Greenwood Venue, Tulsa, OK 74106, USA
    Artif Intell Med 34:113-27. 2005
    ..Therefore, the main objective of this manuscript is to report on a research project where we took advantage of those available technological advancements to develop prediction models for breast cancer survivability...
  5. pmc Cost-effectiveness of malaria diagnostic methods in sub-Saharan Africa in an era of combination therapy
    Samuel Shillcutt
    Andean Health and Development Saludesa, Quito, Ecuador
    Bull World Health Organ 86:101-10. 2008
    ..To evaluate the relative cost-effectiveness in different sub-Saharan African settings of presumptive treatment, field-standard microscopy and rapid diagnostic tests (RDTs) to diagnose malaria...
  6. pmc Conditional variable importance for random forests
    Carolin Strobl
    Department of Statistics, Ludwig Maximilians Universitat Munchen, Ludwigstrasse 33, D 80539 Munchen, Germany
    BMC Bioinformatics 9:307. 2008
    ..Their variable importance measures have recently been suggested as screening tools for, e.g., gene expression studies. However, these variable importance measures show a bias towards correlated predictor variables...
  7. ncbi Screening for chronic kidney disease: where does Europe go?
    Paul E de Jong
    Department of Medicine, Division of Nephrology, University Medical Center Groningen, Hanzeplein 1, 9713 EZ Groningen, Netherlands
    Clin J Am Soc Nephrol 3:616-23. 2008
    ....
  8. ncbi A decision tree for tuberculosis contact investigation
    Lynn B Gerald
    University of Alabama at Birmingham Lung Health Center, NHB 104, 619 19th Street South, Birmingham, AL 35249 7337, USA
    Am J Respir Crit Care Med 166:1122-7. 2002
    ..Several decision trees were developed and were then tested using prospectively collected data from 366 new tuberculosis cases and ..
  9. ncbi Seeing the trees despite the forest: applying recursive partitioning to the evaluation of drug treatment retention
    Gerhard Hellemann
    SIStat, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA 90024, USA
    J Subst Abuse Treat 36:59-64. 2009
    ..The basic methodology of RP is introduced and applied to the prediction of treatment retention...
  10. ncbi Decision tree and ensemble learning algorithms with their applications in bioinformatics
    Dongsheng Che
    Department of Computer Science, East Stroudsburg University, East Stroudsburg, PA 18301, USA
    Adv Exp Med Biol 696:191-9. 2011
    ..We hope that by learning the algorithms of decision trees and ensemble classifiers, biologists can get the basic ideas of how machine learning algorithms work...
  11. ncbi Sequences in the interferon sensitivity-determining region and core region of hepatitis C virus impact pretreatment prediction of response to PEG-interferon plus ribavirin: data mining analysis
    Masayuki Kurosaki
    Division of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Tokyo, Japan
    J Med Virol 83:445-52. 2011
    ..A decision-tree model that includes these viral factors as predictors could identify patients with a high probability of sustained virological response...
  12. pmc Different screening strategies (single or dual) for the diagnosis of suspected latent tuberculosis: a cost effectiveness analysis
    Anil Pooran
    Division of Infection and Immunity, Centre for Infectious Diseases and International Health, University College London Medical School, University College London, 43 Cleveland Street, London W1T 4JF, UK
    BMC Pulm Med 10:7. 2010
    ..tb...
  13. ncbi Cost effectiveness of pneumococcal vaccination among Dutch infants: economic analysis of the seven valent pneumococcal conjugated vaccine and forecast for the 10 valent and 13 valent vaccines
    Mark H Rozenbaum
    Unit of Pharmacoepidemiology and Pharmacoeconomics, Department of Pharmacy, University of Groningen, Groningen, Netherlands
    BMJ 340:c2509. 2010
    ....
  14. ncbi Linking clinical measurements and kinematic gait patterns of toe-walking using fuzzy decision trees
    Stéphane Armand
    Laboratoire d Automatique, de Mécanique et d Informatique industrielles et Humaines, Universite de Valenciennes et du Hainaut Cambresis, Le Mont Houy, 59313 Valenciennes Cedex 9, France
    Gait Posture 25:475-84. 2007
    ..range of movement, muscle spasticity and muscle strength) were coded in fuzzy modalities, and fuzzy decision trees were induced to create intelligible rules allowing toe-walkers to be assigned to one of the three groups...
  15. pmc Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression
    Daniel Westreich
    Department of Epidemiology, University of North Carolina at Chapel Hill, NC 27599 7435, USA
    J Clin Epidemiol 63:826-33. 2010
    ..Our objective in this review was to assess machine learning alternatives to logistic regression, which may accomplish the same goals but with fewer assumptions or greater accuracy...
  16. pmc Prediction of thermostability from amino acid attributes by combination of clustering with attribute weighting: a new vista in engineering enzymes
    Mansour Ebrahimi
    Department of Biology and Bioinformatics Research Group, University of QOM, Qom, Iran
    PLoS ONE 6:e23146. 2011
    ..This study demonstrates the feasibility of predicting thermostability irrespective of sequence similarity and will serve as a basis for engineering thermostable enzymes in the laboratory...
  17. ncbi Cost-effectiveness of treatment strategies for cervical infection among women at high risk in Madagascar
    Kristi McClamroch
    Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, SUNY, Rensselaer, New York, USA
    Sex Transm Dis 34:631-7. 2007
    ....
  18. ncbi A review and comparison of classification algorithms for medical decision making
    Paul R Harper
    School of Mathematics, University of Southampton, SO17 1BJ, Southampton, UK
    Health Policy 71:315-31. 2005
    ....
  19. pmc Predicting gene function using hierarchical multi-label decision tree ensembles
    Leander Schietgat
    Department of Computer Science, Katholieke Universiteit Leuven, Celestijnenlaan 200A, 3001 Leuven, Belgium
    BMC Bioinformatics 11:2. 2010
    ..Different machine learning methods have been proposed to this end, but it remains unclear which method is to be preferred in terms of predictive performance, efficiency and usability...
  20. ncbi A combined neural network and decision trees model for prognosis of breast cancer relapse
    José M Jerez-Aragonés
    Departamento de Lenguajes y Ciencias de la Computación, Complejo Tecnológico de la Información, Campus de Teatinos, University of Malaga, 29071, Malaga, Spain
    Artif Intell Med 27:45-63. 2003
    ....
  21. ncbi Measuring performance in health care: case-mix adjustment by boosted decision trees
    Anke Neumann
    Assistance Publique Hopitaux de Paris, Direction de la Politique Médicale, 3 Av Victoria, F 75184 Paris Cedex 04, France
    Artif Intell Med 32:97-113. 2004
    The purpose of this paper is to investigate the suitability of boosted decision trees for the case-mix adjustment involved in comparing the performance of various health care entities.
  22. ncbi Cost-effectiveness of QuantiFERON-TB test vs. tuberculin skin test in the diagnosis of latent tuberculosis infection
    S Deuffic-Burban
    Institut National de la Santé et de la Recherche Médicale INSERM U795, Faculte de Medecine, Lille, France
    Int J Tuberc Lung Dis 14:471-81. 2010
    ....
  23. ncbi Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry serum protein profiling to identify nasopharyngeal carcinoma
    David Wing Yuen Ho
    Department of Surgery, University of Hong Kong, Pokfulam, Hong Kong, China
    Cancer 107:99-107. 2006
    ..The use of serum protein profiles and a classification tree algorithm were explored to distinguish NPC from noncancer...
  24. pmc Are decision trees a feasible knowledge representation to guide extraction of critical information from randomized controlled trial reports?
    Grace Y Chung
    Centre for Health Informatics, University of New South Wales, Sydney, NSW, 2052, Australia
    BMC Med Inform Decis Mak 8:48. 2008
    This paper proposes the use of decision trees as the basis for automatically extracting information from published randomized controlled trial (RCT) reports...
  25. ncbi Decision tree methods in pharmaceutical research
    Paul E Blower
    Leadscope, Inc, 1393 Dublin Road, Columbus, OH 43215, USA
    Curr Top Med Chem 6:31-9. 2006
    b>Decision trees are among the most popular of the new statistical learning methods being used in the pharmaceutical industry for predicting quantitative structure-activity relationships...
  26. ncbi Transporter studies in drug development: experience to date and follow-up on decision trees from the International Transporter Consortium
    D Tweedie
    Drug Metabolism and Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals, Ridgefield, Connecticut, USA
    Clin Pharmacol Ther 94:113-25. 2013
    ..regulatory and industry-based scientists, with input from academic scientists, and focused primarily on the decision trees published from the first workshop...
  27. ncbi [Standards, Options and Recommendations for non metastatic breast cancer patients]
    Louis Mauriac
    Institut Bergonie, Bordeaux, France
    Bull Cancer 89:207-24. 2002
    ..The methodology is based on a literature review and critical appraisal by a multidisciplinary group of experts, with feedback from specialists in cancer care delivery...
  28. ncbi Longitudinal risk profiling for suicidal thoughts and behaviours in a community cohort using decision trees
    Philip J Batterham
    Centre for Mental Health Research, The Australian National University, Canberra, ACT 0200, Australia
    J Affect Disord 142:306-14. 2012
    ..This study used a decision tree approach to develop individual models of suicide risk and identify the risk factors for suicidality that are important for different subpopulations...
  29. ncbi Cost per fall: a potentially misleading indicator of burden of disease in health and residential care settings
    Terry P Haines
    Southern Physiotherapy Clinical School, Monash University, Melbourne, Victoria, Australia
    J Eval Clin Pract 19:153-61. 2013
    ....
  30. ncbi A cost-effectiveness model comparing rivaroxaban and dabigatran etexilate with enoxaparin sodium as thromboprophylaxis after total hip and total knee replacement in the irish healthcare setting
    Laura McCullagh
    National Centre for Pharmacoeconomics, St James s Hospital, Dublin, Ireland
    Pharmacoeconomics 27:829-46. 2009
    ..Rivaroxaban (Xarelto) is a direct factor Xa inhibitor and dabigatran etexilate (Pradaxa) is a prodrug of the active compound dabigatran, which inhibits thrombin...
  31. ncbi Performance comparison between Logistic regression, decision trees, and multilayer perceptron in predicting peripheral neuropathy in type 2 diabetes mellitus
    Chang ping Li
    Department of Health Statistics, College of Public Health, Tianjin Medical University, and Department of Internal Neurology, Tianjin Huanhu Hospital, Tianjin 300070, China
    Chin Med J (Engl) 125:851-7. 2012
    ....
  32. ncbi Prognostic factors in head and neck squamous cell carcinoma: comparison of CHAID decision trees technology and Cox analysis
    Francesc Xavier Avilés-Jurado
    Otorhinolaryngology Head Neck Surgery Department, Hospital Universitari de Tarragona Joan XXIII, Tarragona, Catalonia, Spain
    Head Neck 35:877-83. 2013
    ....
  33. ncbi Supervised learning with decision tree-based methods in computational and systems biology
    Pierre Geurts
    Department of EE and CS and GIGA Research, University of Liege, Belgium
    Mol Biosyst 5:1593-605. 2009
    ..The second part of the review provides a survey of their applications in the context of computational and systems biology...
  34. pmc Algorithm to determine the outcome of patients with acute liver failure: a data-mining analysis using decision trees
    Nobuaki Nakayama
    Department of Gastroenterology and Hepatology, Faculty of Medicine, Saitama Medical University, 38 Morohongo, Moroyama machi, Iruma gun, Saitama, 350 0495, Japan
    J Gastroenterol 47:664-77. 2012
    ..We established algorithms to predict the prognosis of acute liver failure (ALF) patients through a data-mining analysis, in order to improve the indication criteria for liver transplantation...
  35. ncbi Use of simple heuristics to target macrolide prescription in children with community-acquired pneumonia
    Joachim E Fischer
    Division of Infectious Diseases, University Children s Hospital of Zurich, Steinwiesstrasse 75, CH 8032 Zurich, Switzerland
    Arch Pediatr Adolesc Med 156:1005-8. 2002
    ..Owing to alarming resistance rates among invasive Streptococcus pneumoniae isolates, particularly in young children, macrolide use should be restricted to patients infected with susceptible pathogens, eg, Mycoplasma pneumoniae...
  36. ncbi Combining classification trees using MLE
    W D Shannon
    Washington University School of Medicine, Division of General Medical Sciences, St Louis, MO 63110, USA
    Stat Med 18:727-40. 1999
    ..We implement an ascent search for the MLE tree structure using a data set of 13 classification trees that predict the presence or absence of cancer based on immune system parameters...
  37. ncbi Binary recursive partitioning: background, methods, and application to psychology
    Edgar C Merkle
    Department of Psychology, Wichita State University, Kansas 67260, USA
    Br J Math Stat Psychol 64:161-81. 2011
    ..In this paper, we describe BRP methods in a detailed manner and illustrate their use in psychological research. We also provide R code for carrying out the methods...
  38. pmc RNA search with decision trees and partial covariance models
    Jennifer A Smith
    Electrical and Computer Engineering Department, Boise State University, 1910 University Ave, Boise, ID 83725 2075, USA
    IEEE/ACM Trans Comput Biol Bioinform 6:517-27. 2009
    ..The decision trees are chosen to minimize computation time subject to the constraint that all of the training sequences are ..
  39. ncbi Pretreatment prediction of response to peginterferon plus ribavirin therapy in genotype 1 chronic hepatitis C using data mining analysis
    Masayuki Kurosaki
    Division of Gastroenterology and Hepatology, Musashino Red Cross Hospital, 1 26 1 Kyonan cho, Musashino, Tokyo 180 8610, Japan
    J Gastroenterol 46:401-9. 2011
    ..This study aimed to develop a model for the pre-treatment prediction of sustained virological response (SVR) to peg-interferon plus ribavirin therapy in chronic hepatitis C...
  40. ncbi Analysis of meal patterns with the use of supervised data mining techniques--artificial neural networks and decision trees
    Aine P Hearty
    Institute of Food and Health, University College Dublin, Dublin, Ireland
    Am J Clin Nutr 88:1632-42. 2008
    ..At present, the analysis of dietary patterns is based on the intake of individual foods. This article demonstrates how a coding system at the meal level might be analyzed by using data mining techniques...
  41. ncbi Assessment of the risk factors of coronary heart events based on data mining with decision trees
    Minas A Karaolis
    Department of Computer Science, University of Cyprus, Nicosia 1678, Cyprus
    IEEE Trans Inf Technol Biomed 14:559-66. 2010
    ..e., medical or surgical. However, further investigation with larger datasets is still needed...
  42. ncbi Decision trees for indication of cataract surgery based on changes in visual acuity
    Jose M Quintana
    Unidad de Investigacion, Hospital Galdakao Usansolo CIBER Epidemiología y Salud Pública, Galdakao, Vizcaya, Spain
    Ophthalmology 117:1471-8, 1478.e1-3. 2010
    To develop decision trees based on prospectively collected data for determining the appropriateness of cataract extraction.
  43. ncbi Analysis of traffic injury severity: an application of non-parametric classification tree techniques
    Li Yen Chang
    Graduate Institute of Transportation and Logistics, National Chia Yi University, 300 University Road, Chia Yi 60004, Taiwan
    Accid Anal Prev 38:1019-27. 2006
    ..Pedestrians, motorcycle and bicycle riders are identified to have higher risks of being injured than other types of vehicle drivers in traffic accidents...
  44. pmc Decision trees for identifying predictors of treatment effectiveness in clinical trials and its application to ovulation in a study of women with polycystic ovary syndrome
    Heping Zhang
    Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520 8034, USA
    Hum Reprod 25:2612-21. 2010
    ..g. genetic markers), there is still much utility in exploring whether it is possible to estimate treatment efficacy based on demographic and baseline variables...
  45. ncbi Assessment of freeway traffic parameters leading to lane-change related collisions
    Anurag Pande
    Department of Civil and Environmental Engineering, University of Central Florida, Orlando, FL 32816 2450, USA
    Accid Anal Prev 38:936-48. 2006
    ..The results indicate that these models may be applied for identifying real-time traffic conditions prone to lane-change related crashes...
  46. ncbi Pattern recognition for road traffic accident severity in Korea
    S Y Sohn
    Department of Industrial Systems Engineering, Yonsei University, Seoul, Korea
    Ergonomics 44:107-17. 2001
    ..The finding is that accuracy does not differ significantly for each model and that the protective device is the most important factor in the accident severity variation...
  47. pmc Cell and tumor classification using gene expression data: construction of forests
    Heping Zhang
    Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520 8034, USA
    Proc Natl Acad Sci U S A 100:4168-72. 2003
    ..In addition to numerical improvement, the main advantage of deterministic forests is reproducibility and scientific interpretability of all steps in tree construction...
  48. pmc Gene mining: a novel and powerful ensemble decision approach to hunting for disease genes using microarray expression profiling
    Xia Li
    Department of Biomedical Engineering, Biomathematics and Bioinformatics, Harbin Medical University, Harbin 150086, China
    Nucleic Acids Res 32:2685-94. 2004
    ..Establishment of this analysis strategy has offered the promise of advancing microarray technology as a means of deciphering the involved genetic complexities of complex diseases...
  49. pmc Developing and validating predictive decision tree models from mining chemical structural fingerprints and high-throughput screening data in PubChem
    Lianyi Han
    National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
    BMC Bioinformatics 9:401. 2008
    ..Computational approaches for the analysis of HTS results face great challenges due to the large quantity of information and significant amounts of erroneous data produced...
  50. ncbi Controlling feature selection in random forests of decision trees using a genetic algorithm: classification of class I MHC peptides
    Loren Hansen
    Program in Bioinformatics, Boston University, Boston, MA 02215, USA
    Comb Chem High Throughput Screen 12:514-9. 2009
    ..We have developed a procedure--GenForest--which controls feature selection in random forests of decision trees by using a genetic algorithm...
  51. pmc Phylogenetic dependency networks: inferring patterns of CTL escape and codon covariation in HIV-1 Gag
    Jonathan M Carlson
    eScience Group, Microsoft Research, Redmond, Washington, United States of America
    PLoS Comput Biol 4:e1000225. 2008
    ..Phylogenetic dependency networks represent a major step toward systematically expanding our understanding of CTL escape to diverse populations and whole viral genes...
  52. ncbi Probabilistic sensitivity analysis for decision trees with multiple branches: use of the Dirichlet distribution in a Bayesian framework
    Andrew H Briggs
    Health Economics Research Centre, University of Oxford, Institute of Health Sciences, Headington, Oxford OX3 7LF, United Kingdom
    Med Decis Making 23:341-50. 2003
    ..Furthermore, they demonstrate that by adopting a Bayesian approach, the problem of observing zero counts for transitions of interest can be overcome...
  53. ncbi Expanded newborn screening for inborn errors of metabolism by electrospray ionization-tandem mass spectrometry: results, outcome, and implications
    Andreas Schulze
    Division of Metabolic and Endocrine Diseases, Department of General Pediatrics, University Children s Hospital, Heidelberg, Germany
    Pediatrics 111:1399-406. 2003
    ....
  54. ncbi Predictive value of CD24 and CD44 for neoadjuvant chemotherapy response and prognosis in primary breast cancer patients
    Kazumi Horiguchi
    Department of Human Pathology, Tokyo Medical and Dental University Graduate School, Tokyo, Japan
    J Med Dent Sci 57:165-75. 2010
    ..We investigated the significance of CD24 and CD44 expression for predicting responses to chemotherapy and prognosis in primary breast cancer patients...
  55. pmc Diversity and complexity of HIV-1 drug resistance: a bioinformatics approach to predicting phenotype from genotype
    Niko Beerenwinkel
    GMD German National Research Center for Information Technology, Institute for Algorithms and Scientific Computing, Schloss Birlinghoven, D 53754 Sankt Augustin, Germany
    Proc Natl Acad Sci U S A 99:8271-6. 2002
    ..We found prediction errors of 9.6-15.5% for all drugs except for zalcitabine, didanosine, and stavudine, with prediction errors between 25.4% and 32.0%. A prediction service is freely available at http://cartan.gmd.de/geno2pheno.html...
  56. ncbi Evaluation of explicit criteria for total hip joint replacement
    J M Quintana
    Unidad de Investigacion, Hospital de Galdakao, Barrio Labeaga s n, 48960 Galdakao, Vizcaya, Spain
    J Clin Epidemiol 53:1200-8. 2000
    ..These results support the use of this indications algorithm as a screening tool for assessing the appropriateness of hip replacement surgery in osteoarthritis...
  57. pmc Cost-effectiveness analysis of rapid diagnostic test, microscopy and syndromic approach in the diagnosis of malaria in Nigeria: implications for scaling-up deployment of ACT
    Benjamin S C Uzochukwu
    Department of Community Medicine, University of Nigeria, Nigeria
    Malar J 8:265. 2009
    ..The study hence compares the cost-effectiveness of RDT versus syndromic diagnosis and microscopy...
  58. ncbi SELDI-TOF MS profiling of serum for detection of laryngeal squamous cell carcinoma and the progression to lymph node metastasis
    Lei Cheng
    Department of Otolaryngology Head and Neck Surgery, Fudan University affliated Eye, Ear, Nose and Throat Hospital, 83 Fenyang Road, 200031, Shanghai, China
    J Cancer Res Clin Oncol 134:769-76. 2008
    ....
  59. ncbi Artificial neural networks and decision tree model analysis of liver cancer proteomes
    John M Luk
    Department of Surgery and Center for Cancer Research, Faculty of Medicine Building, 9 F, 21 Sassoon Road, University of Hong Kong, Pokfulam, Hong Kong
    Biochem Biophys Res Commun 361:68-73. 2007
    ..The 2-DE-based proteomic profiling approach combined with the ANN or CART algorithm yielded satisfactory performance on identifying HCC and revealed potential candidate cancer biomarkers...
  60. ncbi Reducing the global burden of acute lower respiratory infections in children: the contribution of new diagnostics
    Yee Wei Lim
    RAND Corporation, 1776 Main Street, PO Box 2138, Santa Monica, California 90407 2138, USA
    Nature 444:9-18. 2006
  61. ncbi Demonstrating freedom from disease using multiple complex data sources 1: a new methodology based on scenario trees
    P A J Martin
    Department of Agriculture and Food, P O Box 1231, Bunbury, Western Australia 6231, Australia
    Prev Vet Med 79:71-97. 2007
    ..Finally, calculation of the probability of country freedom from the estimated sensitivity of the surveillance system is illustrated, incorporating the use and valuation of historical surveillance evidence...
  62. ncbi SELDI-TOF MS profiling of serum for detection of the progression of chronic hepatitis C to hepatocellular carcinoma
    E Ellen Schwegler
    Department of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School, Norfolk, VA, USA
    Hepatology 41:634-42. 2005
    ..In conclusion, SELDI-TOF MS serum profiling is able to distinguish HCC from liver disease before cirrhosis as well as cirrhosis, especially in patients with HCV infection compared with other etiologies...
  63. pmc An interactive model for the assessment of the economic costs and benefits of different rapid diagnostic tests for malaria
    Yoel Lubell
    Department of Public Health and Policy, LSHTM, London, UK
    Malar J 7:21. 2008
    ..The model presented (available online) can be used by decision makers to evaluate alternative RDTs and assess the circumstances under which their use is justified on economic grounds...
  64. ncbi Hereditary diffuse gastric cancer: diagnosis and management
    Vanessa Blair
    Department of Surgery, University of Auckland, Auckland, New Zealand
    Clin Gastroenterol Hepatol 4:262-75. 2006
    ....
  65. ncbi Depression is the main determinant of quality of life in multiple sclerosis: a classification-regression (CART) study
    S D'Alisa
    Department of Neurology and Neurorehabilitation, Istituto Auxologico Italiano, IRCCS, Piancavallo VB, Italy
    Disabil Rehabil 28:307-14. 2006
    ....
  66. ncbi Decision trees for indication of total hip replacement on patients with osteoarthritis
    Jose M Quintana
    Unidad de Investigacion, Hospital Galdakao Usansolo, Barrio Labeaga s n, 48960 Galdakao, Vizcaya, Spain
    Rheumatology (Oxford) 48:1402-9. 2009
    ..To develop a decision tree based on health-related quality of life outcomes rather than expert consensus for determining the appropriateness of total hip replacement (THR) among patients with hip OA...
  67. ncbi Screening and treatment of latent tuberculosis among healthcare workers at low, moderate, and high risk for tuberculosis exposure: a cost-effectiveness analysis
    Shelley R Salpeter
    Santa Clara Valley Medical Center, San Jose, USA
    Infect Control Hosp Epidemiol 25:1056-61. 2004
    ..To evaluate cost-effective screening and treatment strategies for healthcare workers (HCWs) at risk for tuberculosis exposure...
  68. ncbi Application of surface-enhanced laser desorption/ionization time-of-flight-based serum proteomic array technique for the early diagnosis of prostate cancer
    Yu Zhuo Pan
    Research Center of Prostate Diseases, Department of Reproductive Pathophysiology, School of Basic Medicine, Jilin University, Changchun, China
    Asian J Androl 8:45-51. 2006
    ..To identify the serum biomarkers of prostate cancer (PCa) by protein chip and bioinformatics...
  69. ncbi Models developed by three techniques did not achieve acceptable prediction of binary trauma outcomes
    Rory Wolfe
    Department of Epidemiology and Preventive Medicine, Monash University, Central and Eastern Clinical School, Melbourne, Victoria 3004, Australia
    J Clin Epidemiol 59:26-35. 2006
    ..To develop prediction models for outcomes following trauma that met prespecified performance criteria. To compare three methods of developing prediction models: logistic regression, classification trees, and artificial neural networks...
  70. pmc Application of serum SELDI proteomic patterns in diagnosis of lung cancer
    Shuan Ying Yang
    Department of Respiratory Medicine, Second Hospital of Xi an Jiaotong University, Xi an, 710004, China
    BMC Cancer 5:83. 2005
    ..The aim of this study is to explore the application of serum SELDI proteomic patterns to distinguish lung cancer patients from healthy individuals...
  71. pmc Oblique decision trees for spatial pattern detection: optimal algorithm and application to malaria risk
    Jean Gaudart
    Medical Statistics and Informatics Research Team, LIF UMR 6166, CNRS Aix Marseille University, Faculty of Medicine, 27 Bd Jean Moulin 13385 Marseille Cedex 05, France
    BMC Med Res Methodol 5:22. 2005
    ..For this purpose, we have developed an ODT-algorithm to find an oblique partition of the space defined by the geographic coordinates...
  72. ncbi Classification of dopamine, serotonin, and dual antagonists by decision trees
    Hye Jung Kim
    Biochemicals Research Center, Korea Institute of Science and Technology, PO Box 131, Cheongryang, Seoul 130 650, South Korea
    Bioorg Med Chem 14:2763-70. 2006
    ..6% and predicted at the average 69.8%. The decision trees from RP, the best model, were generated to identify and interpret those descriptors that discriminate the ..
  73. ncbi Prediction of pancreatic cancer by serum biomarkers using surface-enhanced laser desorption/ionization-based decision tree classification
    Yun Yu
    Department of Pathophysiology, Shanghai Terry Fox Cancer Center and Institute of Hematology, Rui Jin Hospital, Shanghai Second Medical University, Shanghai 200025, China
    Oncology 68:79-86. 2005
    ..In order to improve the prognosis of pancreatic cancer patients, it is crucial to explore novel tools for its early diagnosis. Here, we attempted to screen serum biomarkers to distinguish pancreatic cancer from non-cancer individuals...
  74. ncbi Protein cellular localization prediction with Support Vector Machines and Decision Trees
    Ana Carolina Lorena
    Instituto de Ciências Matemáticas e de Computação ICMC, Universidade de Sao Paulo USP, CEP 13560 970, Cx Postal 668, Sao Carlos, SP, Brazil
    Comput Biol Med 37:115-25. 2007
    ..This paper uses two Machine Learning techniques, Support Vector Machines (SVMs) and Decision Trees, in the prediction of the localization of proteins from three categories of organisms: gram-positive and gram-..
  75. ncbi Predicting disordered regions in proteins based on decision trees of reduced amino acid composition
    Pengfei Han
    School of Computer Science and IT, RMIT University, Melbourne, Victoria, Australia
    J Comput Biol 13:1723-34. 2006
    ..In this paper we present a system for predicting disordered regions in proteins based on decision trees and reduced amino acid composition...
  76. ncbi Virtual screening of Chinese herbs with Random Forest
    Thomas M Ehrman
    Pharmaceutical Sciences Research Division and Centre for Natural Medicines Research, King s College London, Franklin Wilkins Building, 150 Stamford Street, London SE1 9NH, United Kingdom
    J Chem Inf Model 47:264-78. 2007
    Random Forest, a form of multiple decision trees, has been used to screen a database of Chinese herbal constituents for potential inhibitors against several therapeutically important molecular targets...
  77. pmc The impact of response to the results of diagnostic tests for malaria: cost-benefit analysis
    Yoel Lubell
    Health Economics and Financing Programme, Department of Public Health and Policy, London School of Hygiene and Tropical Medicine, London WC1E 7HT
    BMJ 336:202-5. 2008
    ..This study tested the impact of clinicians' response to rapid diagnostic test or microscopy results on the costs and benefits of testing at different levels of malaria transmission and in different age groups...
  78. ncbi [Gender-sensitive epidemiological data analysis: methodological aspects and empirical outcomes. Illustrated by a health reporting example]
    I Jahn
    Bremer Institut für Präventionsforschung und Sozialmedizin, Bremen, BRD
    Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 51:13-27. 2008
    ..This procedure combines graphical models with CHAID decision trees and allows for visualising complex results...
  79. pmc Serum diagnosis of diffuse large B-cell lymphomas and further identification of response to therapy using SELDI-TOF-MS and tree analysis patterning
    Xing Zhang
    Department of Medical Oncology, Sun Yat sen University Cancer Center, Guangzhou, 510060, China
    BMC Cancer 7:235. 2007
    ..In this study, we used serum proteomic mass spectra to identify potential serum biomarkers and biomarker patterns for detecting DLBCL and patient responses to therapy...
  80. ncbi The cost-effectiveness of computer-assisted navigation in total knee arthroplasty
    Erik J Novak
    Department of Orthopaedic Surgery, University of California San Francisco, 500 Parnassus Avenue, MU 320W, San Francisco, CA 94143 0728, USA
    J Bone Joint Surg Am 89:2389-97. 2007
    ....
  81. ncbi Predicting who will drop out of nursing courses: a machine learning exercise
    Laurence G Moseley
    HESAS, Glyntaff Campus, University of Glamorgan, Portypridd CF37 1DL, UK
    Nurse Educ Today 28:469-75. 2008
    ..The concepts of causation and prediction are different, and have different implications for practice. This distinction is applied here to studies of the problem of student attrition (although it is more widely applicable)...
  82. pmc Clinical decision modeling system
    Haiwen Shi
    Bioinformatics Analysis Core, Genomics and Proteomics Core Laboratories, 3343 Forbes Avenue, Pittsburgh, PA 15260 USA
    BMC Med Inform Decis Mak 7:23. 2007
    ....
  83. ncbi Integrating functional knowledge during sample clustering for microarray data using unsupervised decision trees
    Henning Redestig
    Max Planck Institute for Molecular Plant Physiology, Am Muhlenberg 1, 14476 Golm, Germany
    Biom J 49:214-29. 2007
    ..Our approach computes dendrograms that resemble decision trees with gene classes used to split the data at each node which can help to find biologically meaningful ..
  84. pmc Classification trees distinguish suicide attempters in major psychiatric disorders: a model of clinical decision making
    J John Mann
    Department of Neuroscience, New York State Psychiatric Institute, New York 10032, USA
    J Clin Psychiatry 69:23-31. 2008
    ..Classification and regression tree (CART) analysis generates decision trees that select the variables that perform best in identifying the group of interest and model clinical decision ..
  85. ncbi Hybrid outcome prediction model for severe traumatic brain injury
    Boon Chuan Pang
    Acute Brain Injury Research Laboratory, Department of Neurosurgery, National Neuroscience Institute, 11 Jalan Tan Tock Seng, 308433 Singapore
    J Neurotrauma 24:136-46. 2007
    ..Combining both logistic regression and decision tree models, a hybrid prediction model was then developed. This hybrid model would more accurately predict the 6-month post-severe head injury outcome using baseline admission parameters...
  86. pmc Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system
    Jean Baptiste Lamy
    Laboratoire d Informatique Médicale et de Bio informatique LIM and BIO, UFR SMBH, Universite Paris 13, Bobigny, France
    Stud Health Technol Inform 136:223-8. 2008
    ..This method was successfully used for the testing of a medical DSS relating to chronic diseases: the ASTI critiquing module for type 2 diabetes...
  87. pmc Predicting ICU survival: a meta-level approach
    Lefteris G Gortzis
    Telemedicine Unit, School of Medicine, University of Patras, Patras, Greece
    BMC Health Serv Res 8:157. 2008
    ..The objective of the present study was twofold: to propose a prototype meta-level predicting approach concerning Intensive Care Unit (ICU) survival and to evaluate the effectiveness of typical mining models in this context...
  88. pmc What are decision trees?
    Carl Kingsford
    Department of Computer Science, Institute for Advanced Computer Studies and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742, USA
    Nat Biotechnol 26:1011-3. 2008
    b>Decision trees have been applied to problems such as assigning protein function and predicting splice sites. How do these classifiers work, what types of problems can they solve and what are their advantages over alternatives?
  89. ncbi The role of procalcitonin in a decision tree for prediction of bloodstream infection in febrile patients
    R P H Peters
    Department of Internal Medicine, VU University Medical Centre, Amsterdam, The Netherlands
    Clin Microbiol Infect 12:1207-13. 2006
    ..g., PCT, in CART analysis, as compared with MLR models. This underlines the value of PCT plus CART analysis in the diagnosis of a febrile patient...
  90. pmc Using data mining techniques to explore physicians' therapeutic decisions when clinical guidelines do not provide recommendations: methods and example for type 2 diabetes
    Massoud Toussi
    UFR SMBH, Universite Paris, Bobigny, France
    BMC Med Inform Decis Mak 9:28. 2009
    ..We demonstrate our method by an example in the domain of type 2 diabetes...
  91. ncbi [Approach to the methodology of classification and regression trees]
    Javier Trujillano
    Unidad de Cuidados Intensivos, Hospital Universitario Arnau de Vilanova, Lleida, Espana
    Gac Sanit 22:65-72. 2008
    To provide an overview of decision trees based on CART (Classification and Regression Trees) methodology...
  92. pmc Representation of clinical practice guidelines in conventional and augmented decision tables
    R N Shiffman
    Center for Medical Informatics, Yale School of Medicine, New Haven, CT, USA
    J Am Med Inform Assoc 4:382-93. 1997
    ..To develop a knowledge representation model for clinical practice guidelines that is linguistically adequate, comprehensible, reusable, and maintainable...
  93. ncbi Classification and regression tree for prediction of outcome after severe head injury using simple clinical and laboratory variables
    A Rovlias
    Department of Neurosurgery, Asclepeion General Hospital, Athens, Greece
    J Neurotrauma 21:886-93. 2004
    ..This technique may prove useful in developing new therapeutic strategies and approaches for patients with severe brain injury...
  94. pmc Decision support tools for clinical diagnosis of disease in cows with suspected bovine spongiform encephalopathy
    C Saegerman
    Secretariat of the Scientific Committee, Administration of Control Policy, Federal Agency for the Safety of the Food Chain, B 1000 Brussels, Belgium
    J Clin Microbiol 42:172-8. 2004
    ..The model had a sensitivity of 100% and a specificity of 85%. This approach allows the use of an interactive decision-support tool, based entirely on odds ratios, a statistic independent of disease prevalence...
  95. pmc Predicting gene function from patterns of annotation
    Oliver D King
    Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, USA
    Genome Res 13:896-904. 2003
    ..We modeled the relationships among GO attributes with decision trees and Bayesian networks, using the annotations in the Saccharomyces Genome Database (SGD) and in FlyBase as ..
  96. ncbi Considerations for the representation of meta-data for the support of structured data entry
    A M van Ginneken
    Department of Medical Informatics, Erasmus University, Rotterdam, The Netherlands
    Methods Inf Med 42:226-35. 2003
    ..e. the definition of what is relevant to say in a specific context. The objective of this paper is to provide considerations for an intuitive conceptual representation of such meta-data for domain experts...
  97. ncbi Computerization of guidelines: a knowledge specification method to convert text to detailed decision tree for electronic implementation
    Angel Ricardo Aguirre-Junco
    Public Health and Medical Informatics Department, Broussais Hotel Dieu University, 15 rue de l Ecole de Medecine, 75006 Paris, France
    Stud Health Technol Inform 107:115-9. 2004
    ..We use decision tables to validate the decision algorithm and decision trees to specify and represent this algorithm, along with elementary messages of recommendation...
  98. ncbi Diagnostic potential of serum proteomic patterns in prostate cancer
    Lionel L Banez
    Department of Surgery, Uniformed Armed Services University of the Health Sciences, Bethesda, Maryland, USA
    J Urol 170:442-6. 2003
    ....
  99. ncbi A novel approach toward development of a rapid blood test for breast cancer
    Antonia Vlahou
    Department of Microbiology, and Virginia Prostate Center, Eastern Virginia Medical School, Norfolk, VA 23507, USA
    Clin Breast Cancer 4:203-9. 2003
    ..The combination of SELDI ProteinChip mass spectrometry and a classification- and regression-tree algorithm has the potential to use serum protein expression profiles for detection and diagnosis of breast cancer...
  100. ncbi Integrating classification trees with local logistic regression in Intensive Care prognosis
    Ameen Abu-Hanna
    Department of Medical Informatics, AMC University of Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, The Netherlands
    Artif Intell Med 29:5-23. 2003
    ..We pay special attention to the precision aspect of model performance and argue why precision is more important than discrimination ability...
  101. pmc Genome-wide identification of genes likely to be involved in human genetic disease
    Nuria Lopez-Bigas
    Computational Genomics Group, The European Bioinformatics Institute, EMBL Cambridge Outstation, Cambridge CB10 1SD, UK
    Nucleic Acids Res 32:3108-14. 2004
    ..The probability score assignments for the human genome are accessible at http://maine.ebi. ac.uk:8000/services/dgp...

Research Grants69

  1. Tree Ensemble Regression and Classification Methods
    JAMES SCHIMERT; Fiscal Year: 2004
    This SBIR aims to produce next generation classification and regression software based upon ensembles of decision trees: bagging, random forests, and boosting...
  2. Coping, Community Functioning and Severe Mental Illness
    Philip Yanos; Fiscal Year: 2007
    ..This data will be analyzed using multilevel modeling approaches and will provide a crucial adjunct to the retrospective data from the first study. [unreadable] [unreadable]..
  3. Genetic variation and regulatory networks: Mechanisms and complexity
    DANA PE ER; Fiscal Year: 2009
    ..These tools will be made publicly available, including a friendly graphical user interface and visualization. ..
  4. Predicting persistent Organ Failure early in Acute Pancreatitis
    Georgios I Papachristou; Fiscal Year: 2013
    ..techniques: Naove Bayes, logistic regression model, support vector machines, artificial neural networks, and decision trees. Using data from this same cohort, we will calculate the accuracy of 5 single markers (glucose, hematocrit, ..
  5. Developing, Validating, and Implementing a CKD Predictive Model (DELVECKD)
    KHALED A ABDEL-KADER; Fiscal Year: 2013
    ..Dr. Douglas Landsittel, a statistician with an interest in the classification of disease outcomes using decision trees, has extensive experience in building and validating predictive models...
  6. A National Consortium to Explore the Genotypic Basis for ESRD in Lupus
    Robert P Kimberly; Fiscal Year: 2010
    ..approaches to gene discovery and biological pathway characterization including Bayesian networks, alternative decision trees, HyperLasso, and penalized logistic regression...
  7. An Innovative Caregiver Tool to Assess and Manage Behavioral Symptoms of Dementia
    Helen C Kales; Fiscal Year: 2013
    ..will efficiently and effectively assist caregivers by systematically guiding them through evidence-informed decision trees to: 1) assess and monitor presence and severity of behavioral symptoms;2) identify potential precipitating ..
  8. An Observational Acute Stroke Model for Decision Support and Comparing Outcomes
    Gary Duckwiler; Fiscal Year: 2013
    ..g., logistic regression, decision trees);and the overall impact of the system to impact decision-making...
  9. Optimizing Peripheral Nerve Regeneration using Computational Intelligence based T
    Xiaojun Yu; Fiscal Year: 2011
    ..Some research groups have applied artificial neural networks and decision trees to obtain the best model configuration for the prediction of the tissue engineering strategies...
  10. Efficacy and Effectiveness of Multi-Behavior Interventions Relevant to HIV
    DOLORES ALBARRACIN; Fiscal Year: 2013
    ..behavior change and techniques to achieve it, an interactive website for researchers to use the data, and decision trees to derive combinatorial recommendations for different populations, facilitators, geographic areas, disease ..
  11. Moderators and Predictors of Response to Treatments for Alcohol Dependence
    STEPHANIE S O'MALLEY; Fiscal Year: 2013
    ..b>Decision trees allow identification of subgroups of subjects for whom there are significant differences in effectiveness of ..
  12. Molecular Organization of Renal and Hepatic Organic Cation Transporters
    Stephen H Wright; Fiscal Year: 2013
    ..FDA guidance increasingly urge that New Molecular Entities (NMEs) be tested using defined protocols ('Decision Trees') designed to identify potentials DDIs with OCTs, as well as other multidrug transporters, and the ..
  13. DATA MINING AND MODEL BUILDING IN MEDICAL INFORMATICS
    Bruce Buchanan; Fiscal Year: 2001
    ..Machine learning programs find classification rules (or decision trees or networks) that separate members of a target class from other individuals...
  14. ARTIFICIAL INTELLIGENCE CLINICAL DECISION MAKING
    Peter Szolovits; Fiscal Year: 1992
    ..We shall draw upon existing systems for building decision trees and influence diagrams...
  15. POLICY PRO: Software To Write Policies & Procedures
    KENNETH KENNEY; Fiscal Year: 2001
    ..Based on an expert knowledge system using algorithms, stored decision trees and a text editor, the product interacts with the answers provided by the user to produce a working final ..
  16. Comparative Visualization and Analysis for GCxGC
    Qingping Tao; Fiscal Year: 2007
    ..The expected results of this research and development include a PCA-based method for chemical fingerprinting, decision trees with chemical constraints for sample classification, genetic programming for template and constraint-based ..
  17. Decision Support in the Care of Preterm Newborns-Tool Development
    Martina Mueller; Fiscal Year: 2009
    ..ANN), support vector machines (SVM), naive Bayesian classifiers (NBC), influence diagrams (ID), boosted decision trees (BDT) and multivariable logistic regression (MLR) to assist primarily inexperienced clinicians in the decision-..
  18. NATIONAL COLLABORATIVE DIAGNOSTIC IMAGING TRIAL PROJECTS
    Elias Zerhouni; Fiscal Year: 1992
    ..The data acquired through this prospective study will form the basis for developing optimized decision trees in imaging of colorectal and pancreatic cancer.
  19. PATIENT MANAGEMENT AND OUTCOME EFFECTS OF FEE CHANGES
    Mark McClellan; Fiscal Year: 1992
    ..Using these datasets, clinical decision trees will be developed for patients with conditions placing them at increased risk for undergoing either an "..
  20. Spatial Modeling in Glaucoma
    Michael Twa; Fiscal Year: 2009
    ..these modeling methods to apply novel pattern recognition techniques from computer and information sciences-decision trees and non-linear regression analysis-and then compare these techniques to current methods to identify glaucoma...
  21. REVAMP Follow-Up
    Madhukar Trivedi; Fiscal Year: 2008
    ....
  22. Treatment with Exercise Augmentation for Depression
    Madhukar Trivedi; Fiscal Year: 2006
    ....
  23. Computerized Decision Support System for Depression
    Madhukar Trivedi; Fiscal Year: 2007
    ..Comparisons will be made between CDSS-D, PPA-D, and UC-D. [unreadable] [unreadable]..
  24. Phase 3 stem cell transplant for light chain amyloidosis
    Morie A Gertz; Fiscal Year: 2011
    ..In addition, the analysis of clonal precursor B cells in the periphery and kinetics of amyloid formation of the monoclonal light chain will allow us to define and determine the mechanisms of disease progression and response to therapy. ..
  25. Accurate Models for Predicting Radiation-Induced Injury
    Shiva Das; Fiscal Year: 2009
    ..They will be made publicly available via the Internet. The overall impact of this work will be to facilitate significant reduction in thoracic radiotherapy-induced injury via accurate prediction. ..
  26. LRI AS A TERMINAL EVENT IN US AND DUTCH NURSING HOMES
    David Mehr; Fiscal Year: 2001
    ..This may help to inform national debate on appropriate care at the end of life. ..
  27. Individual Differences in Smoking Exposure and Nicotine Dependence Sensitivity
    Lisa C Dierker; Fiscal Year: 2010
    ....
  28. RESEARCH TRAINING IN THE EPIDEMIOLOGY OF AGING
    Stanislav Kasl; Fiscal Year: 2008
    ..In addition, Ph.D. candidates in biostatistics who will work with our biostatistics faculty on developing new techniques for the analysis of longitudinal data on older persons will also be eligible for support. ..
  29. STATISTICAL METHODS FOR CORRELATED SUBSTANCE USE DATA
    Heping Zhang; Fiscal Year: 2003
    ....
  30. PATHWAYS TO ALCOHOLISM THROUGH PSYCHOPATHOLOGY
    Heping Zhang; Fiscal Year: 2001
    ..They further state that identifying these pathways will ultimately assist in the development of an empirical basis for the primary prevention of secondary alcoholism. ..
  31. Methodological Research on Substance Use
    Heping Zhang; Fiscal Year: 2008
    ..unreadable] [unreadable] [unreadable] [unreadable]..
  32. Controlled Study of SAMe vs.Escitalopram in Major Depressive Disorder
    Maurizio Fava; Fiscal Year: 2008
    ..Secondary aims are to assess the acute effects of SAMe or escitalopram vs. placebo on remission rates, quality of life, and psychosocial functioning. ..
  33. Randomized Controlled Trial to Enhance Dual Protection Among PLHIV in India
    Trace S Kershaw; Fiscal Year: 2010
    ....
  34. Genetic Epidemiology of Glioma International Consortium
    Melissa L Bondy; Fiscal Year: 2010
    ..This information has translational significance for brain tumor patients and their families, and will enable us to develop appropriate genetic screening and counseling approaches to reduce the incidence and mortality of this disease. ..
  35. Improving Outcomes in Diabetic Nephropathy
    Robert Toto; Fiscal Year: 2008
    ..PERFORMANCE SITE ========================================Section End=========================================== ..
  36. Perinatal Regionalization and Quality of Care
    Scott Lorch; Fiscal Year: 2008
    ..unreadable] [unreadable] [unreadable] [unreadable]..
  37. Ethical Issues in Behavioral Health Research
    James DuBois; Fiscal Year: 2004
    ..The Center for Health Care Ethics at Saint Louis University and the Missouri Institute of Mental Health are committed to sustaining the course beyond year 3. ..
  38. Statistical Methods for Evaluation and Validation of Diagnostic Tests
    Ying Lu; Fiscal Year: 2008
    ..Research results will be disseminated through publication of software, research and tutorial papers in both clinical and statistical journals and by influencing position papers of professional organizations. ..
  39. Fertilization and Activation of Development 2007 Gordon Research Conference
    GEORGE GERTON; Fiscal Year: 2007
    ..The conference will promote collaborations among US [unreadable] and international scientists with widely disparate experiences/seniority, methodologies, [unreadable] and model systems. [unreadable] [unreadable] [unreadable] [unreadable]..
  40. ETIOLOGY OF BULIMIC PATHOLOGY--MULTIMETHOD INVESTIGATION
    Eric Stice; Fiscal Year: 2002
    ..Agras' and Taylor's labs, (2) learn state-of- the-art treatments for eating pathology and other adolescent psychopathology, (3) take courses in quantitative techniques, methodology, and ethics, and (4) receive training in grant writing. ..
  41. Divalproex and Placebo, Lithium, or Quetiapine for Mania
    Trisha Suppes; Fiscal Year: 2008
    ..abstract_text> ..
  42. Comparing Models of Function Learning
    Jerome Busemeyer; Fiscal Year: 2006
    ..This last line of research is designed to test the basic learning mechanisms underlying almost all connectionist-learning approaches. [unreadable] [unreadable]..
  43. THE EFFECTS OF LAWS ON YOUTH PREVALENCE
    LEONARD JASON; Fiscal Year: 2005
    ..If these predicted findings do emerge, they will have an important influence on the ways in which public policy officials and community members consider interventions directed at lowering rates of smoking among their youth. ..
  44. Effects of Treating Obstructive Sleep Apnea in Epilepsy
    Beth Malow; Fiscal Year: 2004
    ..Develop quality control measures to ensure accurate and consistent data collection among sites in the RCT, including aspects related to remote data entry and standardization of performance and interpretation of PSG studies across sites...
  45. Genetic And Inflammatory Markers Of Sepsis
    Derek Angus; Fiscal Year: 2004
    ....
  46. AN EVALUATION OF THE OXFORD HOUSE MODEL
    LEONARD JASON; Fiscal Year: 2004
    ..This study would be the first longitudinal evaluation of Oxford Houses, and it would provide important information on the nature and role of the Oxford House experience on long-term sobriety among recovering alcoholics. ..
  47. REGULATION OF EXTRACELLULAR SUPEROXIDE DISMUTASE BY PROT
    Russell Bowler; Fiscal Year: 2004
    ..This will not only define new aspects of the pathogenesis and regulation of vascular tone and inflammation, but can open new approaches to pharmacologically control these events. ..
  48. Statistical methods for utility of multiple tests
    Ying Lu; Fiscal Year: 2003
    ..based on data from the Study of Osteoporotic Fractures (SOF) and simulation models using cost-effectiveness and population distribution parameters published in literature. ..
  49. IMMUNE RESPONSES TO PNEUMOCOCCAL ANTIGENS IN CHILDREN
    Lisa Kobrynski; Fiscal Year: 2003
    ..In addition, the applicant will pursue further training in study design and research methods, including didactic courses at the Rollins School of Public Health and the Graduate Division of Biological and Biomedical Sciences, at Emory. ..
  50. ABSTINENT SOCIAL SUPPORT IN OXFORD HOUSE
    LEONARD JASON; Fiscal Year: 2005
    ..e., abstinence status, reduction in symptoms, and quantity of use); and, 2) to examine whether changes in the degree of abstinence support received, moderated by social investment, promote these increases in self-efficacy. ..
  51. Mechanisms for Hormone-Dependent NF-kB Activation
    Allan Brasier; Fiscal Year: 2007
    ..These studies will identify new therapeutic targets that can disrupt the vicious cycle of inflammation and atherosclerosis. ..
  52. Treatment of Endometriosis-Associated Pelvic Pain
    David Guzick; Fiscal Year: 2007
    ..In addition, a cost-effectiveness analysis will be performed by calculating the cost per unit reduction in pain score for each treatment. ..
  53. Changes in Functional Status Across Therapy for Primary Glioma
    Lee Jones; Fiscal Year: 2007
    ..unreadable] [unreadable] [unreadable]..
  54. PS06-003, Opt-out HIV Testing in Emergency Dept settings
    Jason Haukoos; Fiscal Year: 2007
    ..unreadable] [unreadable] [unreadable] [unreadable]..
  55. Statistical Methods for Cancer Genes
    Giovanni Parmigiani; Fiscal Year: 2007
    ..abstract_text> ..
  56. Quantitative Image Quality for Optimization of MRI
    David Wilson; Fiscal Year: 2007
    ..When this research is successfully completed, we will have established useful tools for evaluating and optimizing the almost unlimited number of MR imaging methods. ..
  57. Depression in Primary Care: Just Another Illness?
    Jeffrey Susman; Fiscal Year: 2007
    ..By using this strategy, we will take the first essential steps toward designing quality improvement interventions that are feasible and sustainable in the long-term milieu of real-world primary care practice. [unreadable] [unreadable]..
  58. Making CKD Guidelines Work in Underserved Practices
    Chester Fox; Fiscal Year: 2007
    ..In addition to testing efficacy, this R01 application will also include a cost-effectiveness analysis. [unreadable] [unreadable] [unreadable]..
  59. Metabolic Polymorphisms and Survival from Brain Tumors
    Melissa Bondy; Fiscal Year: 2004
    ..Thus, patients who can tolerate higher doses of chemotherapy can be treated more efficiently, suffering from less side effects and potentially may have a better outcome. ..
  60. Nonablative AlloSCT in Refractory Autoimmune Disease
    Mitchell Cairo; Fiscal Year: 2003
    ....
  61. Retrieval of DNA, RNA, and Protein from Archival Tissue
    Clive Taylor; Fiscal Year: 2005
    ..the National Institute of Standards and Technology (NIST), and the University of California, San Francisco. ..
  62. Retrieval of DNA, RNA and Protein from Archival Tissues
    Clive Taylor; Fiscal Year: 2002
    ..This is followed by secondary condensation reaction for both proteins and nucleic acids, resulting in the formation of a stable methylene compound. ..
  63. MOLECULAR EPIDEMIOLOGY OF GLIOMAS
    Melissa Bondy; Fiscal Year: 2004
    ..no abstract available ..
  64. Determinants of Breast Cancer Survival
    Melissa Bondy; Fiscal Year: 2006
    ..abstract_text> ..
  65. Spectrum of Narcolepsy in the Probands Families
    MAURICE OHAYON; Fiscal Year: 2007
    ..A blood sample (3-5 ml) will be asked also to all participants. This will allow us to link some genetic markers of narcolepsy to specific symptoms even in subjects without the full-fledge manifestation of the disease. ..