Prediction of Myocardial Infarction From Patient Features With Machine Learning

Overview of attention for article published in Frontiers in Cardiovascular Medicine, March 2022

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So far, Dimensions has found 10 publications that cite this research output.

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The most recent citing publications are shown below. View all 10 publications that cite this research output on Dimensions.

A predictive approach for myocardial infarction risk assessment using machine learning and big clinical data

Article in Healthcare Analytics (June 2024)

Hybrid feature selection in a machine learning predictive model for perioperative myocardial injury in noncoronary cardiac surgery with cardiopulmonary bypass.

Article in Perfusion (May 2024)

A Novel Deep Learning Approach for Myocardial Infarction Detection and Multi-Label Classification

Article in IEEE Access (January 2024)

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