Machine learning algorithms for heart disease diagnosis: A systematic review.
Journal:
Current problems in cardiology
Published Date:
Aug 1, 2025
Abstract
BACKGROUND: The heart is a vital organ that pumps blood throughout the body. Its proper functioning is crucial for maintaining overall health, and any malfunction can significantly impact other bodily systems. Recently, machine learning has emerged as a valuable tool in cardiology, enhancing the prediction and diagnosis of heart diseases. By analyzing clinical data, these algorithms reveal patterns that traditional methods might miss, aiding in early detection and personalized treatment. This study aimed to evaluate the most widely used and accurate supervised machine-learning algorithms for predicting and diagnosing heart disease.
