PREDICTING SUDDEN CARDIAC DEATH BY MACHINE LEARNING OF VENTRICULAR ACTION POTENTIALS

Anojan Selvalingam,Mahmood Alhusseini,Albert J. Rogers,David Krummen,Firas M. Abuzaid,Tina Baykaner,Paul Clopton,Peter Bailis,Matei Zaharia,Paul Wang,Sanjiv Narayan

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY（2020）

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摘要

It is difficult to predict sudden cardiac arrest (SCA) using clinical demographics or inducible arrhythmias at electrophysiological study. We hypothesized that machine learning of intracardiac repolarization information may predict ventricular arrhythmias (VT) in 3-year follow-up. We studied 42

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ventricular action potentials,sudden cardiac death,machine learning

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