How Will Machine Learning Inform the Clinical Care of Atrial Fibrillation?

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第一作者： Konstantinos C,Siontis

第一单位： From the Department of Cardiovascular Medicine (K.C.S., P.A.N.), Mayo Clinic, Rochester, MN.

作者： Konstantinos C,Siontis ^[1] ; Xiaoxi,Yao ^[2] ; James P,Pirruccello ^[3] ; Anthony A,Philippakis ^[4] ; Peter A,Noseworthy ^[1]

作者单位： From the Department of Cardiovascular Medicine (K.C.S., P.A.N.), Mayo Clinic, Rochester, MN. ^[1] Robert D and Patricia E Kern Center for the Science of Health Care Delivery (X.Y.), Mayo Clinic, Rochester, MN.;Division of Health Care Policy and Research, Department of Health Sciences Research (X.Y.), Mayo Clinic, Rochester, MN. ^[2] Broad Institute, Cambridge, MA (J.P.P., A.A.P.).;Division of Cardiology, Massachusetts General Hospital, Boston (J.P.P.). ^[3] Broad Institute, Cambridge, MA (J.P.P., A.A.P.). ^[4]

关键词 ECG artificial intelligence atrial fibrillation electronic health record machine learning natural language processing

主题词心房颤动(Atrial Fibrillation);心电描记术(Electrocardiography);人类(Humans)

DOI 10.1161/CIRCRESAHA.120.316401

PMID 32833571

发布时间 2021-05-18

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准确一般字义偏差语意偏离译文作用小提交