Predicting coronary artery disease using different artificial neural network models
ANADOLU KARDIYOLOJI DERGISI-THE ANATOLIAN JOURNAL OF CARDIOLOGY, cilt.8, sa.4, ss.249-254, 2008 (SCI-Expanded, Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 8 Sayı: 4
- Basım Tarihi: 2008
- Dergi Adı: ANADOLU KARDIYOLOJI DERGISI-THE ANATOLIAN JOURNAL OF CARDIOLOGY
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.249-254
- Anahtar Kelimeler: artificial neural network, prediction, coronary artery disease, learning algorithms, CARDIOVASCULAR-DISEASE, CLASSIFICATION, BURDEN
- Gazi Üniversitesi Adresli: Evet
Özet
Objective: Eight different learning algorithms used for creating artificial neural network (ANN) models and the different ANN models in the prediction of coronary artery disease (CAD) are introduced.