An exploratory machine learning model for predicting advanced liver fibrosis in autoimmune hepatitis patients: A preliminary study

An exploratory machine learning model for predicting advanced liver fibrosis in autoimmune hepatitis patients: A preliminary study

Introduction and Objectives: Advanced fibrosis is a crucial stage in the progression of autoimmune hepatitis (AIH), where fibrosis can either regress or advance. This study aims to leverage machine learning (ML) models for the assessment of advanced liver fibrosis in AIH patients using routine clini...

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Bibliographic Details
Main Authors: Qinglin Wei, Wen Li, Shubei He, Hongbo Wu, Qiaoling Xie, Ying Peng, Xingyue Zhang
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Annals of Hepatology
Subjects:
Autoimmune hepatitis
Liver fibrosis
Machine learning
Random forest
Non-invasive testing
Online Access:http://www.sciencedirect.com/science/article/pii/S1665268124005374
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