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rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography.
Circulation. 2022 Jul 5;146(1):36-47. doi: 10.1161/CIRCULATIONAHA.121.057869. Epub 2022 May 9.
Circulation. 2022.
PMID: 35533093
Free PMC article.
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke.
Raghunath S, Pfeifer JM, Ulloa-Cerna AE, Nemani A, Carbonati T, Jing L, vanMaanen DP, Hartzel DN, Ruhl JA, Lagerman BF, Rocha DB, Stoudt NJ, Schneider G, Johnson KW, Zimmerman N, Leader JB, Kirchner HL, Griessenauer CJ, Hafez A, Good CW, Fornwalt BK, Haggerty CM.
Raghunath S, et al.
Circulation. 2021 Mar 30;143(13):1287-1298. doi: 10.1161/CIRCULATIONAHA.120.047829. Epub 2021 Feb 16.
Circulation. 2021.
PMID: 33588584
Free PMC article.
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