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. |
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| 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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