Predictive modeling of U.S. health care spending in late life

Science

Volumn 360, Issue 6396, 2018, Pages 1462-1465

  Einav, Liran ^a,b   Finkelstein, Amy ^a,c   Mullainathan, Sendhil ^a,d   Obermeyer, Ziad ^e  

^a NATIONAL BUREAU OF ECONOMIC RESEARCH   (United States)

^b STANFORD UNIVERSITY   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d HARVARD UNIVERSITY   (United States)

^e HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA INTERPRETATION; HEALTH CARE; KNOWLEDGE; MACHINE LEARNING; MORTALITY RISK; PREDICTION;

ARTICLE; HEALTH CARE COST; HEALTH CARE UTILIZATION; HUMAN; MACHINE LEARNING; MEDICARE; MORTALITY RISK; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROGNOSIS; RANDOM FOREST; SOCIAL STATUS; TERMINAL CARE; UNITED STATES; AGED; ECONOMIC MODEL; ECONOMICS; MORTALITY; RISK; STATISTICS AND NUMERICAL DATA; SURVIVOR; TRENDS;

UNITED STATES;

AGED; HEALTH EXPENDITURES; HUMANS; MEDICARE; MODELS, ECONOMIC; MORTALITY; PROGNOSIS; RISK; SURVIVORS; UNITED STATES;

EID: 85049131339     PISSN: 00368075     EISSN: 10959203     Source Type: Journal    
DOI: 10.1126/science.aar5045     Document Type: Article

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