Application of machine learning models in predicting the risk of thromboembolic events in patients with nonvariceal gastrointestinal bleeding

doi:10.3748/wjg.v32.i3.115527

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 32, Issue 3

This Article

(60)

(55)

(0)

(1)

(811)

(1)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Gastroenterology

ISSN

1007-9327

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Cohort Study

World J Gastroenterol. Jan 21, 2026; 32(3): 115527
Published online Jan 21, 2026. doi: 10.3748/wjg.v32.i3.115527

Full Size Figure Download Figure

Figure 1 Study flow for the machine learning of internal and external validation set. CatBoost: Categorical boosting; LassoLR: L1 regularized logistic regression; ML: Machine learning; NVGB: Nonvariceal gastrointestinal bleeding; RF: Random forest; SVM: Support vector machines; XGBoost: Extreme gradient boosting.

Citation: Lu C, Cheng HY, Zhu RK, Zhou YD, Sun KF, Xu L, Sang JZ, Chen JE, Yu CH, Qin YL, Li L. Application of machine learning models in predicting the risk of thromboembolic events in patients with nonvariceal gastrointestinal bleeding. World J Gastroenterol 2026; 32(3): 115527
URL: https://www.wjgnet.com/1007-9327/full/v32/i3/115527.htm
DOI: https://dx.doi.org/10.3748/wjg.v32.i3.115527

Lu C, Cheng HY, Zhu RK, Zhou YD, Sun KF, Xu L, Sang JZ, Chen JE, Yu CH, Qin YL, Li L. Application of machine learning models in predicting the risk of thromboembolic events in patients with nonvariceal gastrointestinal bleeding. World J Gastroenterol 2026; 32(3): 115527 [PMID: 41640609 DOI: 10.3748/wjg.v32.i3.115527]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.