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Journal : journal of information technology

Hybrid PSO Feature Selection Correlation and Support Vector Machine Model for Heart Disease Detection Sarina Safitri; Taghfirul Azhima Yoga Siswa; Wawan Joko Pranoto
J-INTECH ( Journal of Information and Technology) Vol 14 No 01 (2026): Journal of Information and Technology
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v14i01.2251

Abstract

Heart disease remains a major health problem worldwide. The World Health Organization (WHO) reports that in 2022, approximately 19.8 million people died from heart disease, highlighting the need for the implementation of an appropriate early detection model. This study proposes a hybrid SVM–PSO model with correlation-based feature selection, duplicate data handling, and a multi-metric fitness function to enhance classification performance. PSO is employed to optimize the C parameter and RBF kernel of SVM, producing a more robust and balanced model compared to existing approaches. This study uses a heart disease dataset consisting of 1,025 rows with 13 attributes and 1 target variable obtained from the Kaggle repository and republished on the Zenodo platform in 2024. The research stages include Pre-Processing, Standardization, Feature Selection based on Correlation, and evaluation using the 10-Fold Cross Validation technique with Accuracy, precision, recall, and F1-score metrics. The results show that Support Vector Machine (SVM) achieved an Accuracy of 82.80%, Precision of 79.31%, Recall of 91.70%, and an F1-score of 84.88%. After optimization using PSO, the performance improved to an accuracy of 84.46%, precision of 80.54%, recall of 92.72%, and an F1-score of 86.04%. The experimental results indicate performance improvements of 2.00% in accuracy, 1.55% in precision, 1.11% in recall, and 1.37% in F1-score after PSO optimization. These results prove that the applied hybrid approach successfully improved the ability to detect heart disease. Therefore, this study contributes by demonstrating that PSO-based hyperparameter optimization can effectively enhance SVM classification performance for heart disease detection. The proposed model also has practical implications as a decision support tool for early heart disease detection that can assist medical practitioners in improving diagnostic accuracy and supporting preventive treatment strategies.
Co-Authors A Arbansyah A Halim Abdul Hallim Abdul Hallim Abdul Rahim Abdul Rahim Achmad Maulidin Agus Widodo AGUS WIDODO Al Munawaroh Alam, Aksal Illal Al Any Sawheri Gading Arbansyah Arbansyah Ari Ahmad Dhani Arif Nur Rahman Asslia Johar Latipah Augie Sugiarto Nunka Aulia Khofifah Syamsuri Azwar Damari Bayu Gaung Oktio Putra Damari, Azwar Della Eliyana Saputri Denny Rachman Dinda Nur Octaviany Dini Anitasari Evitasari, Yuliana Dilla Fadzlul Rahman, Ferry Faldi Faldi Faldi Faldi Faldi Faldi Faldi, Faldi Farid Azis, Muhammad Fathur Rahman Fitri Damayanti Fitriayana, Fitriayana Gilang Adhmadani Gina Maulidina Gunawan Ariyanto Hafizh Mas'Ud, Muhammad Hallim, Abdul Harits, Sayekti Hasudungan, Rofilde Hendra Saputra Hidayatullah, Muhammad Wahyu Highness Mailani Putri Highness Mailani Putri Husni Thamrin Ibnu Sabdaniansyah Ika Safitri Windiarti Ilham, Muhammad Fauzan Nur Indra Pradista Indra Pradista Irma Yuliana Istimaroh Istimaroh Lidya Sari Lidya Sari M. Gilang Romadhon M. Gillang Ramadhani Masni Masni Mawaddah, Suci Melisa Nur Aini Miliani, Dwi Fitri Mohammad Hiqmal Fiqri Mubaraq, Ahmad Ridhani Muhammad Bagus Indriarto Muhammad Fadly Ramadhani Muhammad Farid Azis Muhammad Fath Thoriq Muhammad Nur Irvan Muhammad Rifqi Pratama MUTHMAINNAH Naufal Azmi Verdikha Novia Hidayati Ramadhani Nur Dila Yuanti Nur Rahman, Rohim Nurdin, Andi Pambudi, Faldy Alfareza Raenald Syaputra Rahmad Fardian Ramadhan, Ahmad Kasim Ramadhan, Muhammad Firdaus Ramadhani, Daib Jidan Rangga Pranata Renaldi Yoga Rendy Menono Reno Ridhoi Restu, Anggiq Karisma Aji Reyka Luna Karalo Reza, Andi Rida Priyanti Ridha Anisa Soldzu Parnga Ridha Anisa Soldzu Parnga Rita Yulfani Rivaldo, Vito Junivan Rofilde Hasudungan Sari, Septa Intan Permata Sarina Safitri Satria, Bima Sayekti Harits Suryawan Siti Muawwanah Sofie Azizah, Jahra Syandy Apriyan Nur Taghfirul Azhima Yoga Siswa Taufiq, Ilham Tri Duwi Pramudito Tri Duwi Pramudito Trisha NurHalisha Wahyu Hidayat Wahyu Laksana Wahyudi Yulyanto Wisnu Priyo Jatmiko Yaakub, Saleh Yastria, Nurul Marisya Zahra, Amalia