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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