Performance evaluation of machine learning techniques for heart disease prediction: An overview

Performance evaluation of machine learning techniques for heart disease prediction: An overview

One of the most common and serious diseases is heart disease, as it is one of the major causes of death globally. Heart disorders come in many forms, including arrhythmia, congenital heart disease, and atherosclerosis. Patients with heart disease experience a variety of symptoms, such as dizziness,...

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Bibliographic Details
Main Authors:	Dhanashri Shankar Karande, Shailendrakumar Mahadeo Mukane
Format:	Article
Language:	English
Published:	Universidade Estadual de Maringá 2025-08-01
Series:	Acta Scientiarum: Biological Sciences
Subjects:	decision tree; heart disease; linear regression; machine learning, and random forest.
Online Access:	https://ojs.uem.br/ojs/index.php/ActaSciBiolSci/article/view/73238
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