World Journal of Gastroenterology - Baishideng Publishing Group

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For:	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]
URL:	https://www.wjgnet.com/1007-9327/full/v32/i3/115527.htm

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Number	Citing Articles
1	Ying Su, Dong-Xia Wang, Yi-Qun Zhao, Xue Xing. Bid farewell to single indicators: Machine learning models integrating multidimensional data lead thrombosis risk prediction into a new stage. World Journal of Gastroenterology 2026; 32(34): 118337 doi: 10.3748/wjg.118337 Abstract(6) \| Core Tip(2) \| Full Article(HTML)(2) \| Full Article (PDF)-546K(1) \| Full Article with Cover (PDF)-927K(2) \| Full Article (XML)-76K(2) \| Audio-927K(0) \| Peer-Review Report-244K(4) \| Answering Reviewers-94K(5) \| Times Cited (0) \| Total Visits (7) \| Open

Number

Citing Articles

Ying Su, Dong-Xia Wang, Yi-Qun Zhao, Xue Xing. Bid farewell to single indicators: Machine learning models integrating multidimensional data lead thrombosis risk prediction into a new stage. World Journal of Gastroenterology 2026; 32(34): 118337 doi: 10.3748/wjg.118337

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