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

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Title: Application of machine learning models in predicting the risk of thromboembolic events in patients with nonvariceal gastrointestinal bleeding.
Authors: Lu C; Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China., Cheng HY; Laboratory of Ultrafast Intelligent Optoelectronic Information, College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, Zhejiang Province, China., Zhu RK; Department of Gastroenterology, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China., Zhou YD; Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China., Sun KF; Department of Internal Medicine Residency Program, Rochester General Hospital, New York, NY 10041NY212, United States., Xu L; Department of Gastroenterology, Ningbo First Hospital, Ningbo 315010, Zhejiang Province, China., Sang JZ; Department of Gastroenterology, Renmin Hospital of Yuyao City, Yuyao 315499, Zhejiang Province, China., Chen JE; Department of Gastroenterology, Sanmen People's Hospital of Zhejiang Province, Sanmen 317100, Zhejiang Province, China., Yu CH; Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China., Qin YL; Laboratory of Ultrafast Intelligent Optoelectronic Information, College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, Zhejiang Province, China., Li L; Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China. nalil@zju.edu.cn.
Source: World journal of gastroenterology [World J Gastroenterol] 2026 Jan 21; Vol. 32 (3), pp. 115527.
Publication Type: Journal Article
Journal Info: Publisher: Baishideng Publishing Group Country of Publication: United States NLM ID: 100883448 Publication Model: Print Cited Medium: Internet ISSN: 2219-2840 (Electronic) Linking ISSN: 10079327 NLM ISO Abbreviation: World J Gastroenterol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Application of machine learning models in predicting the risk of thromboembolic events in patients with nonvariceal gastrointestinal bleeding.
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  Data: <searchLink fieldCode="AU" term="%22Lu+C%22">Lu C</searchLink>; Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China.<br /><searchLink fieldCode="AU" term="%22Cheng+HY%22">Cheng HY</searchLink>; Laboratory of Ultrafast Intelligent Optoelectronic Information, College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, Zhejiang Province, China.<br /><searchLink fieldCode="AU" term="%22Zhu+RK%22">Zhu RK</searchLink>; Department of Gastroenterology, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China.<br /><searchLink fieldCode="AU" term="%22Zhou+YD%22">Zhou YD</searchLink>; Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China.<br /><searchLink fieldCode="AU" term="%22Sun+KF%22">Sun KF</searchLink>; Department of Internal Medicine Residency Program, Rochester General Hospital, New York, NY 10041NY212, United States.<br /><searchLink fieldCode="AU" term="%22Xu+L%22">Xu L</searchLink>; Department of Gastroenterology, Ningbo First Hospital, Ningbo 315010, Zhejiang Province, China.<br /><searchLink fieldCode="AU" term="%22Sang+JZ%22">Sang JZ</searchLink>; Department of Gastroenterology, Renmin Hospital of Yuyao City, Yuyao 315499, Zhejiang Province, China.<br /><searchLink fieldCode="AU" term="%22Chen+JE%22">Chen JE</searchLink>; Department of Gastroenterology, Sanmen People's Hospital of Zhejiang Province, Sanmen 317100, Zhejiang Province, China.<br /><searchLink fieldCode="AU" term="%22Yu+CH%22">Yu CH</searchLink>; Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China.<br /><searchLink fieldCode="AU" term="%22Qin+YL%22">Qin YL</searchLink>; Laboratory of Ultrafast Intelligent Optoelectronic Information, College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, Zhejiang Province, China.<br /><searchLink fieldCode="AU" term="%22Li+L%22">Li L</searchLink>; Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China. nalil@zju.edu.cn.
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        Value: 10.3748/wjg.v32.i3.115527
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            – D: 21
              M: 01
              Text: 2026 Jan 21
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