Using machine learning to ace cardiovascular risk tests

被引：0
|
作者：
Bell, James R. [1 ]
Figtree, Gemma A. [2 ,3 ]
Drummond, Grant R. [1 ,4 ]
机构：
[1] La Trobe Univ, Sch Life Sci, Dept Physiol Anat & Microbiol, Bundoora, Vic, Australia
[2] Royal North Shore Hosp, Kolling Inst Med Res, Sydney, NSW, Australia
[3] Univ Sydney, Charles Perkins Ctr, Sydney, NSW, Australia
[4] La Trobe Univ, Sch Life Sci, Ctr Cardiovasc Biol & Dis Res, Bundoora, Vic, Australia
来源：
CARDIOVASCULAR RESEARCH | 2020年 / 116卷 / 14期
关键词：
D O I：
10.1093/cvr/cvaa305
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
This editorial refers to `Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study' by F. Commandeur et al., pp. 2216-2225.
引用
收藏
页码：2173 / 2174
页数：2
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