An interpretable machine learning model for predicting the risk of post-endoscopic retrograde cholangiopancreatography complications in elderly patients with choledocholithiasis

We have developed and validated an interpretable RF model for predicting the risk of post-ERCP complications in elderly patients with choledocholithiasis, and proposed targeted preventive strategies.

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Publication Details

Journal
Saudi Journal of Gastroenterology
Published
2026-01-06
DOI
https://doi.org/10.4103/sjg.sjg_400_25
Primary Topic
Gallbladder and Bile Duct Disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

An interpretable machine learning model for predicting the risk of post-endoscopic retrograde cholangiopancreatography complications in elderly patients with choledocholithiasis

Yaqi Zhai, mingyang Li, Yuming Han, Guanjun Zhang et al.
Saudi Journal of Gastroenterology
Gallbladder and Bile Duct Disorders
article

An interpretable machine learning model for predicting the risk of post-endoscopic retrograde cholangiopancreatography complications in elderly patients with choledocholithiasis

Yaqi Zhai, mingyang Li, Yuming Han, Guanjun Zhang, Ke Meng, Min Zhu
article en

Abstract

We have developed and validated an interpretable RF model for predicting the risk of post-ERCP complications in elderly patients with choledocholithiasis, and proposed targeted preventive strategies.

Saudi Journal of Gastroenterology
Chinese PLA General Hospital (CN)
Openalex Percentile: Top 95%
Gallbladder and Bile Duct Disorders
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