Translational Medicine in the Era of Big Data and Machine Learning

被引：27
|
作者：
Weintraub, William S. [1 ]
Fahed, Akl C. [2 ,3 ,4 ,5 ]
Rumsfeld, John S. [6 ]
机构：
[1] Georgetown Univ, MedStar Heart & Vasc Inst, Washington, DC USA
[2] Massachusetts Gen Hosp, Div Cardiol, Boston, MA 02114 USA
[3] Massachusetts Gen Hosp, Ctr Genom Med, Boston, MA 02114 USA
[4] Broad Inst Harvard & MIT, Cambridge, MA USA
[5] Harvard Med Sch, Boston, MA USA
[6] Univ Colorado, Sch Med, Aurora, CO USA
来源：
CIRCULATION RESEARCH | 2018年 / 123卷 / 11期
关键词：
artificial intelligence; electronic health records; genomics; machine learning; population health; DISEASE; HEALTH;
D O I：
10.1161/CIRCRESAHA.118.313944
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
Recent advances in data analytics have given rise to the field of big data and machine learning. This field has the potential to transform medicine, incorporating genomic and other omic as well as electronic health record (EHR) and other clinical data. The goal is personalized medicine. This article provides an overview of the challenges and opportunities of this emerging science.
引用
收藏
页码：1202 / 1204
页数：3
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