Digital Phenotyping of Myocardial Dysfunction With 12-Lead ECG: Tiptoeing Into the Future With Machine Learning

Affiliations

¹ Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas; Center for Outcomes Research, Houston Methodist, Houston, Texas; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut. Electronic address: knasir@houstonmethodist.org.
² Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut.

Free article

Editorial

Khurram Nasir et al. J Am Coll Cardiol. 2020.

Free article

. 2020 Aug 25;76(8):942-944.

doi: 10.1016/j.jacc.2020.07.001.

¹ Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas; Center for Outcomes Research, Houston Methodist, Houston, Texas; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut. Electronic address: knasir@houstonmethodist.org.
² Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut.

No abstract available

Keywords: echocardiography; electrocardiogram; left ventricular diastolic dysfunction; machine-learning; myocardial relaxation.

Comment on

Machine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features.
Kagiyama N, Piccirilli M, Yanamala N, Shrestha S, Farjo PD, Casaclang-Verzosa G, Tarhuni WM, Nezarat N, Budoff MJ, Narula J, Sengupta PP. Kagiyama N, et al. J Am Coll Cardiol. 2020 Aug 25;76(8):930-941. doi: 10.1016/j.jacc.2020.06.061. J Am Coll Cardiol. 2020. PMID: 32819467 Clinical Trial.