Learning About Machine Learning: The Promise and Pitfalls of Big Data and the Electronic Health Record

被引：27
|
作者：
Deo, Rahul C. [1 ,2 ,3 ,4 ,5 ]
Nallamothu, Brahmajee K. [6 ,7 ]
机构：
[1] Univ Calif San Francisco, Dept Med, Div Cardiol, San Francisco, CA 94158 USA
[2] Univ Calif San Francisco, Cardiovasc Res Inst, San Francisco, CA 94158 USA
[3] Univ Calif San Francisco, Inst Human Genet, San Francisco, CA 94158 USA
[4] Univ Calif San Francisco, Inst Computat Hlth Sci, San Francisco, CA 94158 USA
[5] Calif Inst Quantitat Biosci, San Francisco, CA USA
[6] VA Ann Arbor Healthcare Syst, VA Hlth Serv Res & Dev Ctr Clin Management Res, Ann Arbor, MI USA
[7] Univ Michigan, Sch Med, Dept Internal Med, M CHAMP, Ann Arbor, MI USA
来源：
CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES | 2016年 / 9卷 / 06期
关键词：
Editorials; heart failure; linear models; machine learning; medicine; risk factors; INCIDENT HEART-FAILURE; POPULATION; PREDICTION;
D O I：
10.1161/CIRCOUTCOMES.116.003308
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页码：618 / 620
页数：3
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