Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases
Heart disease is a major problem that must be overcome for human life. In recent years, the volume of medical data related to heart disease has increased rapidly, and various heart disease data has collaborated with information technology such as machine learning to detect, predict, and classify dis...
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| Format: | Article |
| Language: | English |
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Ikatan Ahli Informatika Indonesia
2024-06-01
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| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
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| Online Access: | https://jurnal.iaii.or.id/index.php/RESTI/article/view/5710 |
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| _version_ | 1841544057427329024 |
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| author | Pareza Alam Jusia Abdul Rahim Herti Yani Jasmir Jasmir |
| author_facet | Pareza Alam Jusia Abdul Rahim Herti Yani Jasmir Jasmir |
| author_sort | Pareza Alam Jusia |
| collection | DOAJ |
| description | Heart disease is a major problem that must be overcome for human life. In recent years, the volume of medical data related to heart disease has increased rapidly, and various heart disease data has collaborated with information technology such as machine learning to detect, predict, and classify diseases. This research aims to improve the performance of machine learning classification methods, namely K-Nearest Neighbor (KNN) and Decision Tree (C4.5) with particle swarm optimization (PSO) feature in cases of heart disease. In this research, a comparison was made of the performance of the PSO-based K-NN and C4.5 algorithms. Following experiments employing PSO optimization to improve the K-NN and C4.5 algorithms, the findings indicated that the K-NN algorithm performed exceptionally well with PSO, achieving an accuracy of 89.09%, precision of 89.61%, recall of 90.79%, and an AUC value of 0.935. |
| format | Article |
| id | doaj-art-d187e5f0fac14f6c9fc40d38851a32f0 |
| institution | Kabale University |
| issn | 2580-0760 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj-art-d187e5f0fac14f6c9fc40d38851a32f02025-01-13T03:33:46ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602024-06-018333333910.29207/resti.v8i3.57105710Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart DiseasesPareza Alam Jusia0Abdul Rahim1Herti Yani2Jasmir Jasmir3Universitas Dinamika BangsaUniversitas Dinamika BangsaUniversitas Dinamika BangsaUniversitas Dinamika BangsaHeart disease is a major problem that must be overcome for human life. In recent years, the volume of medical data related to heart disease has increased rapidly, and various heart disease data has collaborated with information technology such as machine learning to detect, predict, and classify diseases. This research aims to improve the performance of machine learning classification methods, namely K-Nearest Neighbor (KNN) and Decision Tree (C4.5) with particle swarm optimization (PSO) feature in cases of heart disease. In this research, a comparison was made of the performance of the PSO-based K-NN and C4.5 algorithms. Following experiments employing PSO optimization to improve the K-NN and C4.5 algorithms, the findings indicated that the K-NN algorithm performed exceptionally well with PSO, achieving an accuracy of 89.09%, precision of 89.61%, recall of 90.79%, and an AUC value of 0.935.https://jurnal.iaii.or.id/index.php/RESTI/article/view/5710machine learningclassificationimprovingperformanceheart disease |
| spellingShingle | Pareza Alam Jusia Abdul Rahim Herti Yani Jasmir Jasmir Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) machine learning classification improving performance heart disease |
| title | Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases |
| title_full | Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases |
| title_fullStr | Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases |
| title_full_unstemmed | Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases |
| title_short | Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases |
| title_sort | improving performance of knn and c4 5 using particle swarm optimization in classification of heart diseases |
| topic | machine learning classification improving performance heart disease |
| url | https://jurnal.iaii.or.id/index.php/RESTI/article/view/5710 |
| work_keys_str_mv | AT parezaalamjusia improvingperformanceofknnandc45usingparticleswarmoptimizationinclassificationofheartdiseases AT abdulrahim improvingperformanceofknnandc45usingparticleswarmoptimizationinclassificationofheartdiseases AT hertiyani improvingperformanceofknnandc45usingparticleswarmoptimizationinclassificationofheartdiseases AT jasmirjasmir improvingperformanceofknnandc45usingparticleswarmoptimizationinclassificationofheartdiseases |