Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	121356
DOI	10.4251/wjgo.121356
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Development and validation of machine learning models for esophagogastric variceal bleeding risk in hepatocellular carcinoma patients
Manuscript Source	Unsolicited Manuscript
All Author List	Qiao Luo, Chao Zhang and Yong-Ping Luo
Funding Agency and Grant Number
Corresponding Author	Yong-Ping Luo, Department of Gastroenterology, Yibin Second People's Hospital, No. 96, Beida Street, Cuiping District, Yibin 644000, Sichuan Province, China. lyp365e@163.com
Key Words	Hepatocellular carcinoma; Esophagogastric variceal bleeding; Machine learning; Prediction model; SHapley Additive exPlanation
Core Tip	This study developed and validated six machine learning models for the early identification of the risk of early-stage esophagogastric variceal bleeding in patients with hepatocellular carcinoma. Albumin, splenic vein diameter, tumor burden score, and ascites were identified as feature variables through LASSO and multivariate Logistic regression. Based on these variables, six machine learning models were constructed, and the support vector machine model was selected as the optimal model. This model demonstrated satisfactory predictive performance, calibration, and clinical applicability.
Citation	Luo Q, Zhang C, Luo YP. Development and validation of machine learning models for esophagogastric variceal bleeding risk in hepatocellular carcinoma patients. World J Gastrointest Oncol 2026; In press DOI: https://doi.org/10.4251/wjgo.121356
PDF	121356-in-press.pdf

Received	2026-03-23 03:46
Peer-Review Started	2026-03-23 03:46
First Decision by Editorial Office Director	2026-04-15 08:20
Return for Revision	2026-04-15 09:13
Revised	2026-05-06 17:23
Publication Fee Transferred	2026-05-13 07:19
Second Decision by Editor	2026-06-18 02:31
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-06-18 07:14
Articles in Press	2026-06-18 07:14
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5204 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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