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Predicting Post-Liver Transplant Outcomes in Patients with Acute-on-Chronic Liver Failure using Expert-Augmented Machine Learning

2023-03-05

Abstract excerpt

<h4>Background</h4> Liver transplantation (LT) is a treatment for acute-on-chronic liver failure (ACLF) but up to 40% mortality post-LT has been reported. Existing post-LT models in ACLF have been limited by small samples. In this study, we developed a novel Expert-Augmented Machine Learning (EAML) model to predict post-LT outcomes. <h4>Methods</h4> We identified ACLF patients in the University of California Healt...

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Literature Corpus work
21713aa7-7450-5da0-aaac-b92240873d8a
DOI
10.1101/2023.03.03.23286729
Open publication

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Predicting Post-Liver Transplant Outcomes in Patients with Acute-on-Chronic Liver Failure using Expert-Augmented Machine LearningDOI 10.1101/2023.03.03.23286729
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