Using data mining to predict success in a weight loss trial

Journal of Human Nutrition and Dietetics

Volumn 30, Issue 4, 2017, Pages 471-478

  Batterham, M ^a   Tapsell, L ^a   Charlton, K ^a   O'Shea, J ^a   Thorne, R ^a  

^a UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

clinical trial; data mining; dietary intervention; weight loss

Indexed keywords

ANIMAL MODEL; AREA UNDER THE CURVE; BODY MASS; CONFIDENCE INTERVAL; DATA MINING; DECISION TREE; DIET; DISEASE MODEL; ENERGY BALANCE; HUMAN; HUMAN EXPERIMENT; LOGISTIC REGRESSION ANALYSIS; POPULATION MODEL; RANDOMIZATION; STATISTICAL MODEL; STUDY DESIGN; WEIGHT REDUCTION; AGED; BODY WEIGHT LOSS; ENERGY METABOLISM; FEMALE; HEALTH BEHAVIOR; MALE; MIDDLE AGED; WEIGHT LOSS PROGRAM;

AGED; BODY MASS INDEX; DATA MINING; DIET; ENERGY METABOLISM; FEMALE; HEALTH BEHAVIOR; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; WEIGHT LOSS; WEIGHT REDUCTION PROGRAMS;

EID: 85012294483     PISSN: 09523871     EISSN: 1365277X     Source Type: Journal    
DOI: 10.1111/jhn.12448     Document Type: Article

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