| Yazarlar (2) |
Doç. Dr. Kemal AKYOL
Kastamonu Üniversitesi, Türkiye |
Baha Şen
Ankara Yıldırım Beyazıt Üniversitesi, Türkiye |
| Özet |
| Commonly seen in adults, cardiovascular diseases are important health problems. In order to investigate the causes of the diseases which affect the heart and the blood vessels, two datasets were used. First, one of these datasets is publicly available dataset provided by the University of California, Irvine Machine Learning Repository. The effects of biochemistry and hemogram laboratory test results for the Cardiovascular Diseases were analyzed by using the second dataset which was taken from the cardiology and other services of Yildirim Beyazit University Ataturk Training and Research Hospital. ICD-10 (International Statistical Classification of Diseases and Related Health Problems) booklet was taken as a reference for the patient and control groups. The successes of the classifier algorithms indicated that working with the datasets which have only limited number of attributes is not right step. |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale |
| Dergi Adı | Journal of Fundamental and Applied Sciences |
| Dergi ISSN | 1112-9867 |
| Dergi Tarandığı Indeksler | Electronic Journals Library |
| Makale Dili | İngilizce |
| Basım Tarihi | 05-2018 |
| Cilt No | 10 |
| Sayı | 2 |
| Sayfalar | 277 / 292 |
