Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning

doi:10.4240/wjgs.v16.i4.1097

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Apr 27, 2024 (publication date) through May 9, 2024

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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, 2024; 16(4): 1097-1108
Published online Apr 27, 2024. doi: 10.4240/wjgs.v16.i4.1097

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Figure 1 Receiver operating characteristic curve with mean cross-validated area under the curve after 5-fold-cross validation. Area under the curve: 0.79 (95%CI: 0.62, 0.80). ROC: Receiver operating characteristic; CvAUC: Cross-validated area under the curve.

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Figure 2 Calibration belt reporting no area of significant miscalibration at 95% and 99% confidence levels.

Citation: Ali H, Inayat F, Moond V, Chaudhry A, Afzal A, Anjum Z, Tahir H, Anwar MS, Dahiya DS, Afzal MS, Nawaz G, Sohail AH, Aziz M. Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning. World J Gastrointest Surg 2024; 16(4): 1097-1108
URL: https://www.wjgnet.com/1948-9366/full/v16/i4/1097.htm
DOI: https://dx.doi.org/10.4240/wjgs.v16.i4.1097