Development and validation of a machine learning-based nomogram for preoperative prediction of laparoscopic surgical difficulty in gallstone patients

This study demonstrates the utility of applying machine learning algorithms to develop a robust nomogram for preoperative prediction of laparoscopic surgical difficulty. By integrating key clinical variables and systemic inflammatory markers, the model provides an effective tool for improving surgical planning and enhancing patient outcomes.

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Publication Details

Journal
Translational Gastroenterology and Hepatology
Published
2025-06-11
DOI
https://doi.org/10.21037/tgh-24-124
Primary Topic
Gallbladder and Bile Duct Disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of a machine learning-based nomogram for preoperative prediction of laparoscopic surgical difficulty in gallstone patients

Deepu Bai, Kun Huang, Shunhu Jia, Xinzhu Yuan et al.
Translational Gastroenterology and Hepatology
Gallbladder and Bile Duct Disorders
article

Development and validation of a machine learning-based nomogram for preoperative prediction of laparoscopic surgical difficulty in gallstone patients

Deepu Bai, Kun Huang, Shunhu Jia, Xinzhu Yuan, Pingwu Zhao
article en

Abstract

This study demonstrates the utility of applying machine learning algorithms to develop a robust nomogram for preoperative prediction of laparoscopic surgical difficulty. By integrating key clinical variables and systemic inflammatory markers, the model provides an effective tool for improving surgical planning and enhancing patient outcomes.

Translational Gastroenterology and HepatologyVol. 10
Mianyang Central Hospital (CN)
Openalex Percentile: Top 78%
Gallbladder and Bile Duct Disorders
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