Optimization of Support Vector Machines for Prediction of Parkinson’s Disease
Yazarlar (2)
Prof. Dr. Turgut ÖZSEVEN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Öğr. Gör. Zübeyir Şükrü ÖZKORUCU Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Measurement Science Review (Q3) | ||
| Dergi ISSN | 1335-8871 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 02-2023 |
| Cilt / Sayı / Sayfa | 23 / 1 / 1–10 | DOI | 10.2478/msr-2023-0001 |
| Makale Linki | https://www.measurement.sk/2023/msr-2023-0001.pdf | ||
| UAK Araştırma Alanları |
İnsan-Bilgisayar Etkileşimi
Yapay Zeka
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| Özet |
| As in all fields, technological developments have started to be used in the field of medical diagnosis, and computer-aided diagnosis systems have started to assist physicians in their diagnosis. The success of computer-aided diagnosis methods depends on the method used; dataset, pre-processing, post-processing, etc. differ according to the processes. In this study, parameter optimization of support vector machines was performed with four different methods currently used in the literature to assist the physician in diagnosis. The success of each method was tested on two different Parkinson's datasets and the results were compared within themselves and with the literature. According to the results obtained, the highest accuracy rates vary depending on the dataset and optimization method. While Improved Chaotic Particle Swarm Optimization achieved high success in the first dataset, Bat Algorithm achieved higher success in the other dataset. While the successful results obtained are better than some studies in the literature, they are at a level that can compete with some studies. |
| Anahtar Kelimeler |
| acoustic analysis | Classification | machine learning | Parameter optimization | Parkinson's disease | Support vector machines |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 2 |
| Google Scholar | 2 |