Optimization of feature selection in Support Vector Machines (SVM) using recursive feature elimination (RFE) and particle swarm optimization (PSO) for heart disease detection

• Main Authors: Bayuaji, Luhur, Kusnadi, Kusnadi, Amzah, Mochamad Yamin, Pebrianti, Dwi
• Format: Proceeding Paper
• Language: English; English
• Published: IEEE 2024
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/115360/1/115360_Optimization%20of%20feature%20selection.pdf; http://irep.iium.edu.my/115360/2/115360_Optimization%20of%20feature%20selection_SCOPUS.pdf; http://irep.iium.edu.my/115360/; https://ieeexplore.ieee.org/document/10652561
• Institution: Universiti Islam Antarabangsa Malaysia

Heart disease is one of the main health problems throughout the world. Early and accurate detection of heart disease is very important to reduce the death rate caused by this condition. One effective approach to detect heart disease is to use Support Vector Machine (SVM) as a machine learning algori...