Machine learning models for mitral valve replacement: A comparative analysis with the Society of Thoracic Surgeons risk score,Journal of Cardiac Surgery

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Machine learning models for mitral valve replacement: A comparative analysis with the Society of Thoracic Surgeons risk score
Journal of Cardiac Surgery ( IF 1.3 ) Pub Date : 2021-10-20 , DOI: 10.1111/jocs.16072
Agni Orfanoudaki ₁ , Aikaterini Giannoutsou ₂ , Sabet Hashim ₃ , Dimitris Bertsimas _{4,

5} , Robert C Hagberg ₃

Affiliation

Current Society of Thoracic Surgeons (STS) risk models for predicting outcomes of mitral valve surgery (MVS) assume a linear and cumulative impact of variables. We evaluated postoperative MVS outcomes and designed mortality and morbidity risk calculators to supplement the STS risk score.

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