Application of knowledge discovery process on the prediction of stroke
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, cilt.119, sa.3, ss.181-185, 2015 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 119 Sayı: 3
- Basım Tarihi: 2015
- Doi Numarası: 10.1016/j.cmpb.2015.03.002
- Dergi Adı: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.181-185
- İnönü Üniversitesi Adresli: Evet
Özet
Objective: Stroke is a prominent life-threatening disease in the world. The current study was performed to predict the outcome of stroke using knowledge discovery process (KDP) methods, artificial neural networks (ANN) and support vector machine (SVM) models.