Correlation analysis and recurrence evaluation system for patients with recurrent hepatolithiasis: a multicentre retrospective study

Correlation analysis and recurrence evaluation system for patients with recurrent hepatolithiasis: a multicentre retrospective study

BackgroundMethods for accurately predicting the prognosis of patients with recurrent hepatolithiasis (RH) after biliary surgery are lacking. This study aimed to develop a model that dynamically predicts the risk of hepatolithiasis recurrence using a machine-learning (ML) approach based on multiple c...

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Bibliographic Details
Main Authors: Zihan Li, Yibo Zhang, Zixiang Chen, Jiangming Chen, Hui Hou, Cheng Wang, Zheng Lu, Xiaoming Wang, Xiaoping Geng, Fubao Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Digital Health
Subjects:
recurrent hepatolithiasis
machine learning
prediction model
high-order correlation data
machine learning operations
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2024.1510674/full
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https://www.frontiersin.org/articles/10.3389/fdgth.2024.1510674/full

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