Enhancing heart disease prediction accuracy by comparing classification models employing varied feature selection techniques

Enhancing heart disease prediction accuracy by comparing classification models employing varied feature selection techniques

ML (Machine Learning) is frequently used in health systems to alert physicians in real time. This helps to take preventive measures, such as predicting a future heart attack. This study presents ML combined with various forms of feature selection to identify heart disease. It includes th...

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Bibliographic Details
Main Authors: Balliu Lorena, Zanaj Blerina, Basha Gledis, Zanaj Elma, Meçe Elinda Kajo
Format: Article
Language:English
Published: Faculty of Technical Sciences in Cacak 2024-01-01
Series:Serbian Journal of Electrical Engineering
Subjects:
machine learning
cardio vascular system
decision tree
logistic regression
support vector machine
random forest
hybrid models
feature selection
Online Access:https://doiserbia.nb.rs/img/doi/1451-4869/2024/1451-48692403375B.pdf
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https://doiserbia.nb.rs/img/doi/1451-4869/2024/1451-48692403375B.pdf

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