Predicting short-term major postoperative complications in intestinal resection for Crohn’s disease: A machine learning-based study

doi:10.4240/wjgs.v16.i3.717

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Mar 27, 2024 (publication date) through Mar 25, 2025

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World Journal of Gastrointestinal Surgery

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1948-9366

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastrointest Surg. Mar 27, 2024; 16(3): 717-730
Published online Mar 27, 2024. doi: 10.4240/wjgs.v16.i3.717

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Figure 4 Feature importance ranking of the random forest model. CDAI: Crohn’s disease activity index; BMI: Body mass index; CD: Crohn’s disease.

Citation: 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
URL: https://www.wjgnet.com/1948-9366/full/v16/i3/717.htm
DOI: https://dx.doi.org/10.4240/wjgs.v16.i3.717