A Review: Machine Learning and Data Mining Approaches for Cardiovascular Disease Diagnosis and Prediction

Rao, Gorapalli Srinivasa and Muneeswari, G (2024) A Review: Machine Learning and Data Mining Approaches for Cardiovascular Disease Diagnosis and Prediction. EAI Endorsed Transactions on Pervasive Health and Technology.

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Abstract

INTRODUCTION: Cardiovascular disease (CVD) is the most common cause of death worldwide, and its prevalence is rising in low-resource settings and among those with lower incomes.
OBJECTIVES: Machine learning (ML) algorithms are quickly evolving and being implemented in medical procedures for CVD dia

Item Type: Article
Date Deposited: 04 Mar 2026 18:09
Last Modified: 11 Apr 2026 00:41
URI: http://eprints.eai.eu/id/eprint/51345

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