Noninvasive diagnosis of significant liver fibrosis in patients with chronic hepatitis B using nomogram and machine learning models

Noninvasive diagnosis of significant liver fibrosis in patients with chronic hepatitis B using nomogram and machine learning models

Abstract This study aims to construct and validate noninvasive diagnosis models for evaluating significant liver fibrosis in patients with chronic hepatitis B (CHB). A cohort of 259 CHB patients were selected as research subjects. Through random grouping, 182 cases were included in the training set...

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Bibliographic Details
Main Authors: Chuan Jiang, Zhenyu Xu, Jinqing Liu, Ronghua Li, Keyu Chen, Wenting Peng, Yueming Xiao, Da Cheng, Lei Fu, Shifang Peng
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Chronic hepatitis B
Liver fibrosis
Diagnostic model
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-85012-9
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https://doi.org/10.1038/s41598-024-85012-9

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