A machine learning approach to model for end-stage liver disease score in cardiac surgery,Journal of Cardiac Surgery

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A machine learning approach to model for end-stage liver disease score in cardiac surgery
Journal of Cardiac Surgery ( IF 1.6 ) Pub Date : 2021-11-18 , DOI: 10.1111/jocs.16076
Edgar Aranda-Michel ₁ , Ibrahim Sultan _{1,

2} , Arman Kilic _{1,

2} , Valentino Bianco ₁ , James A Brown ₁ , Derek Serna-Gallegos _{1,

2}

Affiliation

Model for end-stage liver disease (MELD) likely has nonlinear effects on operative outcomes. We use machine learning to evaluate the nonlinear (dependent variable may not correlate one to one with an increased risk in the outcome) relationship between MELD and outcomes of cardiac surgery.

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