An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis

An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis

Abstract Early identification of high-risk metabolic dysfunction-associated steatohepatitis (MASH) can offer patients access to novel therapeutic options and potentially decrease the risk of progression to cirrhosis. This study aimed to develop an explainable machine learning model for high-risk MAS...

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Bibliographic Details
Main Authors: Basile Njei, Eri Osta, Nelvis Njei, Yazan A. Al-Ajlouni, Joseph K. Lim
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-59183-4

Internet

https://doi.org/10.1038/s41598-024-59183-4

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