Building a disease risk model of osteoporosis based on traditional Chinese medicine symptoms and western medicine risk factors

Statistics in Medicine

Volumn 31, Issue 7, 2012, Pages 643-652

  Zhou, X H ^a,b,c   Li, S L ^a   Tian, F ^d   Cai, B J ^a   Xie, Y M ^d   Pei, Y ^a   Kang, S ^e   Fan, M ^a   Li, J P ^d  

^a RENMIN UNIVERSITY OF CHINA   (China)

^b VA PUGET SOUND HEALTH CARE SYSTEM   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

^d INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^e BEIJING UNIVERSITY OF CHINESE MEDICINE   (China)

Author keywords

Association rule learning; GPLM; Random forest; SVM RFE; TCM symptoms

Indexed keywords

ADULT; ARTICLE; BONE DENSITY; CHINESE MEDICINE; CLINICAL ASSESSMENT; CLINICAL FEATURE; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DATA MINING; FEEDING BEHAVIOR; FEMALE; HUMAN; LEARNING ALGORITHM; LIFESTYLE; LINEAR SYSTEM; MAJOR CLINICAL STUDY; MENOPAUSAL SYNDROME; MUSCLE CRAMP; NONLINEAR SYSTEM; PATHOLOGIC FRACTURE; POSTMENOPAUSE OSTEOPOROSIS; RANDOM FOREST; RISK ASSESSMENT; RISK FACTOR; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; TOOTH DISEASE; TRADITIONAL MEDICINE; VALIDATION PROCESS;

ADULT; AGED; CLINICAL MEDICINE; CROSS-SECTIONAL STUDIES; DATA MINING; FEMALE; HEALTH SURVEYS; HUMANS; MEDICINE, CHINESE TRADITIONAL; MENOPAUSE; MIDDLE AGED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; OSTEOPOROSIS; QUESTIONNAIRES; RISK FACTORS; SUPPORT VECTOR MACHINES;

EID: 84862808750     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4382     Document Type: Article

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