医学
前瞻性队列研究
急诊医学
电子健康档案
队列
儿科
医疗保健
内科学
经济
经济增长
作者
Nathan Brajer,Brian Cozzi,Michael Gao,Marshall Nichols,Mike Revoir,Suresh Balu,Joseph Futoma,Jonathan Bae,Noppon Setji,Adrian F. Hernandez,Mark Sendak
出处
期刊:JAMA network open
[American Medical Association]
日期:2020-02-07
卷期号:3 (2): e1920733-e1920733
被引量:125
标识
DOI:10.1001/jamanetworkopen.2019.20733
摘要
Prospective and multisite retrospective evaluations of a machine learning model demonstrated good discrimination of in-hospital mortality for adult patients at the time of admission. The data elements, methods, and patient selection make the model implementable at a system level.
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