Machine learning-based prediction of postoperative mortality risk after abdominal surgery

doi:10.4240/wjgs.v17.i4.103696

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Apr 27, 2025 (publication date) through Apr 6, 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. Apr 27, 2025; 17(4): 103696
Published online Apr 27, 2025. doi: 10.4240/wjgs.v17.i4.103696

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Figure 1 Receiver operating characteristic curve of the model to predict the risk of postoperative death in patients who underwent abdominal surgery. AUC: Area under the receiver operating characteristic curve; CI: Confidence interval.

Citation: Yuan JH, Jin YM, Xiang JY, Li SS, Zhong YX, Zhang SL, Zhao B. Machine learning-based prediction of postoperative mortality risk after abdominal surgery. World J Gastrointest Surg 2025; 17(4): 103696
URL: https://www.wjgnet.com/1948-9366/full/v17/i4/103696.htm
DOI: https://dx.doi.org/10.4240/wjgs.v17.i4.103696