Machine Learning and Feature Selection-Enabled Optimized Technique for Heart Disease Classification and Prediction

Machine Learning and Feature Selection-Enabled Optimized Technique for Heart Disease Classification and Prediction

When dealing with a group of patients seeking treatment for heart-related diseases, doctors who specialize in the diagnosis and treatment of heart-related disorders have a difficult but critical task. It comes as no surprise that cardiovascular disease is a leading source of morbidity and death in...

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Bibliographic Details
Main Authors: P. Nancy, Prasad Raghunath Mutkule, Kalpana Sunil Thakre, Ajay S. Ladkat, S.B.G. Tilak Babu, Sunil L. Bangare, Mohd Naved
Format: Article
Language:English
Published: Institute of Fundamental Technological Research Polish Academy of Sciences 2024-08-01
Series:Computer Assisted Methods in Engineering and Science
Subjects:
machine learning
heart disease prediction
accuracy
SVM RBF
CFS feature selection
Online Access:https://cames.ippt.pan.pl/index.php/cames/article/view/602
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