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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

Heart Disease Classification Using Extreme Learning Machine (ELM) Method With Outlier Handling One-Class Support Vector Machine (OCSVM) Ariyanto, Dimas; Novitasari, Dian Candra Rini; Hamid, Abdulloh
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.9763

Abstract

Heart disease remains the leading cause of death globally, accounting for approximately 32% of all deaths. Developing countries are particularly affected due to prevalent risk factors such as hypertension, diabetes, and poor lifestyle habits. Accurate and early diagnosis is essential for effective treatment and prevention. Technological advancements have enabled the precise analysis of complex clinical data. This study investigates the application of the Extreme Learning Machine (ELM) algorithm combined with outlier handling using One-Class Support Vector Machine (OCSVM) for heart disease classification. The dataset, obtained from the University of California, Irvine Machine Learning Repository, consists of 1190 clinical records with 12 numerical features. The ELM model was evaluated using the Tanh activation function and 10-fold cross-validation. Among the tested configurations, the best performance was achieved using 450 hidden neurons, yielding a sensitivity of 92,52% with a standard deviation of 4,00%. These results indicate that ELM, when paired with effective outlier handling and properly tuned parameters, can provide reliable and stable performance in heart disease classification.
Co-Authors Ababil, Achmad Fachril Yusuf Abdul Muqsith, Miftahul Khair Achmad Muhibin Zuhri Ahmad Hanif Asyhar Aji Silmi, Thoriq Al Hana, Rudi Alim, Adam Ahmad Syahrul Ambadar, Panreshma Rizkha Andriyani, Santi Andriyani, Santi Aprilianto, Muhammad Awwaludin Ardelia, Nita Arif Ainur Rofiq, Arif Ainur Aris Fanani Ariyanto Wijaya, Indra Ariyanto, Dimas darwis darwis, darwis Dianita Utami, Wika DWI SURYANTO Dwiana, Fadiah Irine Fitria, Nur Annisa Hadi, Mohamad Samsul Hamidah, Isna Hani Khaulasari Haq, Dina Zatusiva Hasani, Ahmad Hidayatulloh, Nur Husniyatus Salamah Zainiyati Idamayanti, Retna Fetty Indriyani, Jiphie Gilia Irfan Tamwifi Ismail Ismail Izzatul Aliyyah Khasanah, Rofina Muti'atun Khaudli, M. Imam Laila, Azzah Nur Laila, Siti Alfin Nur Masruroh Kusman, Umi Moh. Hafiyusholeh Muhammad, Bintang Maulidana munir, very misbahul Mustaghfirah, Walidatul Nafi'ah Darojat, Umi Sarah Nafis, Urwatun Nanang Widodo Nasril, Nashudi Ningrum, Annisa Eka Ayu Cahya NISWATIN, KHOIRUN Novitasari, Dian C Rini Nur Aulia, Shofinatul Wahdah Nurissaidah Ulinnuha Prasetijo, Dono Putroue Keumala Intan Putu Sudira Rudy Al Hana Salehuddin, Mohammad Salehudin, Mohammad Sari, Dian Candra Rini Novita Sari, Firda Yunita Sari, Lia Puspita Siti Aimah Siti Munawaroh Siti Nur Azizah, Siti Nur Solly Aryza Sriasih Sufriyah, Lailiyatus Umam, Ahmad Za'imul Vachruddin, Vrisko Putra Wasyik, Torikhul Wika Dianita Utami Winarto Eka Wahyudi, Winarto Eka Yuliati, Dian Yuliawanti, Felia Dria Yusuf Ababil, Achmad Fachril