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MACHINE LEARNING TO PREDICT 10-YEAR CARDIOVASCULAR MORTALITY FROM 12-LEAD ELECTROCARDIOGRAM

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While various electrocardiogram (ECG) characteristics have been associated with increased cardiovascular mortality (CVM), utility of aggregated, machine-derived ECG measurements for prediction of CVM remains unknown. Using data from 8,432 participants… Click to show full abstract

While various electrocardiogram (ECG) characteristics have been associated with increased cardiovascular mortality (CVM), utility of aggregated, machine-derived ECG measurements for prediction of CVM remains unknown. Using data from 8,432 participants in the third National Health and Nutrition

Keywords: learning predict; cardiovascular mortality; machine learning; predict year; mortality

Journal Title: Journal of the American College of Cardiology
Year Published: 2020

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