Health AI Central
Peer-Reviewed Publication
Liver Transpl2022;28(7):1133-1143.July 1, 2022Journal Article

Use of neural network models to predict liver transplantation waitlist mortality.

Shunji Nagai1,2, Anubhav Reddy Nallabasannagari3, Dilip Moonka2,4, Madhu Reddiboina3, Sirisha Yeddula2, Toshihiro Kitajima1,2, Iman Francis2, Marwan Abouljoud1,2
124016Division of Transplant and Hepatobiliary SurgeryHenry Ford HospitalDetroitMichiganUSA.
2Henry Ford Transplant InstituteDetroitMichiganUSA.
3RediMinds, Inc.SouthfieldMichiganUSA.
424016Division of Gastroenterology and HepatologyHenry Ford HospitalDetroitMichiganUSA.
PubMed DOI

Abstract

Current liver transplantation (LT) organ allocation relies on Model for End-Stage Liver Disease-sodium scores to predict mortality in patients awaiting LT. This study aims to develop neural network (NN) models that more accurately predict LT waitlist mortality. The study evaluates patients listed for LT between February 27, 2002, and June 30, 2021, using the Organ Procurement and Transplantation N…

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