Feature Selection Strategy for Intrahospital Mortality Prediction after Coronary Artery Bypass Graft Surgery on an Unbalanced Sample-Reference-Cited by-同舟云学术

Feature Selection Strategy for Intrahospital Mortality Prediction after Coronary Artery Bypass Graft Surgery on an Unbalanced Sample

Published:2020-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Conference on Computer Science and Application Engineering
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Author:

Shakhgeldyan Karina¹,Geltser Boris²,Rublev Vladislav²,Shirobokov Basil¹,Geltser Dan³,Kriger Alexandra²

Affiliation:

1. Information Technology Department, Vladivostok State University of Economics, Vladivostok, Russia

2. School of Biomedicine, Far Eastern Federal University, Vladivostok, Russia

3. Imperial College London, UK

Publisher

ACM

Reference30 articles.

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3. M P Rao S M Al-Khatib S D Pokorney etal (2017). Sudden Cardiac Death in Patients with Ischemic Heart Failure Undergoing Coronary Artery Bypass Grafting: Results from the STICH Randomized Clinical Trial (Surgical Treatment for Ischemic Heart Failure). Circulation 135(12). M P Rao S M Al-Khatib S D Pokorney et al. (2017). Sudden Cardiac Death in Patients with Ischemic Heart Failure Undergoing Coronary Artery Bypass Grafting: Results from the STICH Randomized Clinical Trial (Surgical Treatment for Ischemic Heart Failure). Circulation 135(12).

4. M N Karim C M Reid M Huq etal (2018). Predicting long-term survival after coronary artery bypass graft surgery. Interactive Cardiovascular Thoracic Surgery 26(2). M N Karim C M Reid M Huq et al. (2018). Predicting long-term survival after coronary artery bypass graft surgery. Interactive Cardiovascular Thoracic Surgery 26(2).

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