Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

Chicco, Davide; Jurman, Giuseppe

doi:10.1186/s12911-020-1023-5

Public

Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

Published in BMC Medical Informatics and Decision Making • Feb 3, 2020

Authors:

Davide Chicco

Giuseppe Jurman

Abstract

BACKGROUND: Cardiovascular diseases kill approximately 17 million people globally every year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) occurs when the heart cannot pump enough blood to meet the needs of the body.Available electronic medical records of ...

Subject

Ejection fraction

Machine learning

Heart failure

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