Analysis of Demographic Characteristics Creating Coronary Artery Disease Susceptibility using Random Forests Classifier
Yazarlar (5)
Prof. Dr. Kemal AKYOL Karabük Üniversitesi, Türkiye
Elif Çalik Karabük Üniversitesi, Türkiye
Şafak Bayir Karabük Üniversitesi, Türkiye
Baha Şen Ankara Yildirim Beyazit University, Türkiye
Abdullah Çavuşoʇlu Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, Türkiye
| Bildiri Türü |
Tebliğ/Bildiri
|
Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| DOI Numarası | 10.1016/j.procs.2015.08.407 | ||
| Kongre Adı | The 2015 International Conference on Soft Computing and Software Engineering (SCSE 2015) Procedia Computer Science | ||
| Kongre Tarihi | 05-03-2015 / 06-03-2015 | ||
| Basıldığı Ülke | Amerika Birleşik Devletleri | Basıldığı Şehir | California |
| Bildiri Linki | https://doi.org/10.1016/j.procs.2015.08.407 | ||
| Özet |
| Cardiovascular system diseases are an important health problem. These diseases are very common also responsible for many deaths. With this study, it is aimed to analyze factors that cause Coronary Artery Disease using Random Forests Classifier. According to the analysis, we observed correct classification ratio and performance measure that creates susceptibility to Coronary Artery Disease for each factor. The performance measure results clearly show the impact of demographic characteristics on CAD. Additionally, this study shows that random forests algorithm can be used to the processing and classification of medical data such as CAD. |
| Anahtar Kelimeler |
| Classification | Coronary Artery Disease | Random Forests |
Science Direct
Analysis of Demographic Characteristics Creating Coronary Artery Disease Susceptibility using Random Forests Classifier
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 8 |
| Google Scholar | 11 |