Can machine learning improve mortality prediction following cardiac surgery?

202037 citationsJournal Articlebronze Open Access

Authors

Umberto Benedetto · University Hospitals Bristol NHS Foundation Trust

Shubhra Sinha · NIHR Bristol Cardiovascular Biomedical Research Unit

Matthew Lyon · NIHR Bristol Biomedical Research Centre

Arnaldo Dimagli · NIHR Bristol Cardiovascular Biomedical Research Unit

Tom R. Gaunt · University Hospitals Bristol NHS Foundation Trust

Gianni D. Angelini · University of Bristol

Jonathan A C Sterne

Abstract

Our findings do not support the hypothesis that machine learning methods provide advantage over LR model in predicting operative mortality after cardiac surgery.

Topics & Keywords

Artificial Intelligence in Healthcare and Education Machine Learning in Healthcare Cardiac Valve Diseases and Treatments

Publication Details

Published in: European Journal of Cardio-Thoracic Surgery

Volume 58, Issue 6, pp. 1130-1136

DOI: 10.1093/ejcts/ezaa229

Field-Weighted Citation Impact: 1.91

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Can machine learning improve mortality prediction following cardiac surgery?

Authors

Abstract

Topics & Keywords

Publication Details