Identifying Mitral Valve Prolapse at Risk for Arrhythmias and Fibrosis From Electrocardiograms Using Deep Learning is a research paper published in JACC Advances (2023). On theSindex it has a DataRank of 0. It has been cited 21 times.
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National Heart, Lung, and Blood Institute
Grant: K23HL135274
National Heart, Lung, and Blood Institute
Grant: R01HL153447
National Institutes of Health
Grant: 5K23HL135274-03
Dynamic prediction of heart failure using real-time functional status and EHR data in the ambulatory setting
National Institutes of Health
Grant: 5R01HL153447-04
Prospective sudden cardiac death risk stratification using CMR and echocardiography machine learning in mitral valve prolapse
National Institutes of Health
University of California, San Francisco
Janssen Pharmaceutica
Zogenix
FWCI
3.83
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals