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Cited by in CrossRef
For: Potievskiy MB, Petrov LO, Ivanov SA, Sokolov PV, Trifanov VS, Grishin NA, Moshurov RI, Shegai PV, Kaprin AD. Machine learning for modeling and identifying risk factors of pancreatic fistula. World J Gastrointest Oncol 2025; 17(4): 100089 [PMID: 40235910 DOI: 10.4251/wjgo.v17.i4.100089]
URL: https://www.wjgnet.com/1948-9366/full/v17/i4/100089.htm
Number Citing Articles
1
Jie Cao, Shike Long, Huan Liu, Ribin Liao, Fu,an Chen, Xiyou Li, Lifeng Xu, Ying Liu. Predicting the acute pancreatitis severity with multi-machine learning models: constructing an online prediction platformFrontiers in Cellular and Infection Microbiology 2026; 16 doi: 10.3389/fcimb.2026.1760036
2
Nan Wang, Jie Zhang, Chaonan Fei, Ye Ding, Li Yang, Peibei Duan. Development of machine learning models for predicting postoperative hyperglycemia in non-diabetic gastric cancer patients: a retrospective cohort study analysisFrontiers in Endocrinology 2025; 16 doi: 10.3389/fendo.2025.1687745