Machine learning techniques in cardiac risk assessment

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Atıf İçin Kopyala

Kartal E., Balaban M. E.

TURK GOGUS KALP DAMAR CERRAHISI DERGISI-TURKISH JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, cilt.26, sa.3, ss.394-401, 2018 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 26 Sayı: 3
• Basım Tarihi: 2018
• Doi Numarası: 10.5606/tgkdc.dergisi.2018.15559
• Dergi Adı: TURK GOGUS KALP DAMAR CERRAHISI DERGISI-TURKISH JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
• Sayfa Sayıları: ss.394-401
• Anahtar Kelimeler: Cardiology, machine learning, risk assessment, HEART-SURGERY
• İstanbul Üniversitesi Adresli: Evet

Özet

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.