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Cited by in CrossRef
For: Pellegrino R, Gravina AG. Machine learning as a tool predicting short-term postoperative complications in Crohn’s disease patients undergoing intestinal resection: What frontiers? World J Gastrointest Surg 2024; 16(9): 2755-2759 [PMID: 39351543 DOI: 10.4240/wjgs.v16.i9.2755]
URL: https://www.wjgnet.com/1948-9366/full/v16/i9/2755.htm
Number Citing Articles
1
Noha Alnazzawi. BERTDiseComp: A Clinical Language Model for Detecting Disease Complications in EHRs2025 International Conference on Electrical, Communication and Computer Engineering (ICECCE) 2025; : 1 doi: 10.1109/ICECCE67514.2025.11257959
2
Ye-Hui Fan, Ming-Wei Wang, Yu-Ning Gao, Wen-Mao Li, Yan Jiao. Genetic and environmental factors influencing Crohn’s diseaseWorld Journal of Gastrointestinal Surgery 2025; 17(3): 98526 doi: 10.4240/wjgs.v17.i3.98526