Mortality risk score prediction in an elderly population using machine learning

American Journal of Epidemiology

Volumn 177, Issue 5, 2013, Pages 443-452

  Rose, Sherri ^a  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

aging; estimation techniques; machine learning; mortality; regression analysis

Indexed keywords

AGING POPULATION; ALGORITHM; EPIDEMIOLOGY; HEALTH RISK; MACHINERY; MORTALITY; PREDICTION; RISK FACTOR;

ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; FEMALE; GERIATRICS; HUMAN; HUMAN EXPERIMENT; MACHINE LEARNING; MALE; MORTALITY; PERFORMANCE; PREDICTION; RISK ASSESSMENT; SCORING SYSTEM; STUDY OF PHYSICAL PERFORMANCE AND AGE RELATED CHANGES IN SONOMANS METHOD; UNITED STATES;

AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CALIFORNIA; EPIDEMIOLOGIC METHODS; HUMANS; MIDDLE AGED; MORTALITY; REGRESSION ANALYSIS; RISK ASSESSMENT;

CALIFORNIA; UNITED STATES;

EID: 84874773224     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kws241     Document Type: Article

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