Machine learning techniques in cardiac risk assessment
TURK GOGUS KALP DAMAR CERRAHISI DERGISI-TURKISH JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, vol.26, no.3, pp.394-401, 2018 (SCI-Expanded, Scopus, TRDizin)
- Publication Type: Article / Article
- Volume: 26 Issue: 3
- Publication Date: 2018
- Doi Number: 10.5606/tgkdc.dergisi.2018.15559
- Journal Name: TURK GOGUS KALP DAMAR CERRAHISI DERGISI-TURKISH JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
- Page Numbers: pp.394-401
- Keywords: Cardiology, machine learning, risk assessment, HEART-SURGERY
- Istanbul University Affiliated: Yes
Abstract
Background: The objective of this study was to predict the mortality risk of patients during or shortly after cardiac surgery by using machine learning techniques and their learning abilities from collected data.