Prediction of parastomal hernia in patients undergoing preventive ostomy after rectal cancer resection using machine learning

doi:10.4240/wjgs.v17.i9.107977

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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. Sep 27, 2025; 17(9): 107977
Published online Sep 27, 2025. doi: 10.4240/wjgs.v17.i9.107977

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Figure 3 SHapley Additive exPlanation analysis of the random forest model. A: Average absolute SHapley Additive exPlanation (SHAP) values for various clinical features; B: SHAP values illustrating the influence of different clinical features on the model's predictions. SHAP: SHapley Additive exPlanation; BMI: Body mass index.

Citation: Yang WS, Su Y, Li YQ, Hu JB, Liu MD, Liu L. Prediction of parastomal hernia in patients undergoing preventive ostomy after rectal cancer resection using machine learning. World J Gastrointest Surg 2025; 17(9): 107977
URL: https://www.wjgnet.com/1948-9366/full/v17/i9/107977.htm
DOI: https://dx.doi.org/10.4240/wjgs.v17.i9.107977

Yang WS, Su Y, Li YQ, Hu JB, Liu MD, Liu L. Prediction of parastomal hernia in patients undergoing preventive ostomy after rectal cancer resection using machine learning. World J Gastrointest Surg 2025; 17(9): 107977 [PMID: 41024821 DOI: 10.4240/wjgs.v17.i9.107977]

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