For: | Wang FT, Lin Y, Yuan XQ, Gao RY, Wu XC, Xu WW, Wu TQ, Xia K, Jiao YR, Yin L, Chen CQ. Predicting short-term major postoperative complications in intestinal resection for Crohn’s disease: A machine learning-based study. World J Gastrointest Surg 2024; 16(3): 717-730 [PMID: 38577067 DOI: 10.4240/wjgs.v16.i3.717] |
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URL: | https://www.wjgnet.com/1948-9366/full/v16/i3/717.htm |
Number | Citing Articles |
1 |
Javier Arredondo Montero. From the mathematical model to the patient: The scientific and human aspects of artificial intelligence in gastrointestinal surgery. World Journal of Gastrointestinal Surgery 2024; 16(6): 1517-1520 doi: 10.4240/wjgs.v16.i6.1517
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2 |
Li-Fan Zhang, Liu-Xiang Chen, Wen-Juan Yang, Bing Hu. Machine learning in predicting postoperative complications in Crohn’s disease. World Journal of Gastrointestinal Surgery 2024; 16(8): 2745-2747 doi: 10.4240/wjgs.v16.i8.2745
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3 |
Xiu Wang, Jianhua Peng, Peipei Cai, Yuxuan Xia, Chengxue Yi, Anquan Shang, Francis Atim Akanyibah, Fei Mao. The emerging role of the gut microbiota and its application in inflammatory bowel disease. Biomedicine & Pharmacotherapy 2024; 179: 117302 doi: 10.1016/j.biopha.2024.117302
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