A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions

This review provides a thorough and organized overview of machine learning (ML) applications in predicting heart disease, covering technological advancements, challenges, and future prospects. As cardiovascular diseases (CVDs) are the leading cause of global mortality, there is an urgent demand for...

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Bibliographic Details
Main Authors:	Raman Kumar, Sarvesh Garg, Rupinder Kaur, M. G. M. Johar, Sehijpal Singh, Soumya V. Menon, Pulkit Kumar, Ali Mohammed Hadi, Shams Abbass Hasson, Jasmina Lozanović
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-05-01
Series:	Frontiers in Artificial Intelligence
Subjects:	heart disease prediction machine learning (ML) deep learning models federated learning explainable artificial intelligence (XAI)
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2025.1583459/full
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A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions

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