Predicting prolonged postoperative ileus in gastric cancer patients based on bowel sounds using intelligent auscultation and machine learning

doi:10.4240/wjgs.v16.i11.3484

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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. Nov 27, 2024; 16(11): 3484-3498
Published online Nov 27, 2024. doi: 10.4240/wjgs.v16.i11.3484

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Figure 3 Bowel rate on first postoperative day. The yellow area represents the area of hyperactive bowel sounds, green represents the area of normal bowel sounds, and blue represents the area of diminished bowel sounds. BR: Bowel rate.

Citation: Shi S, Lu C, Shan L, Yan L, Liang Y, Feng T, Chen Z, Chen X, Wu X, Liu SD, Duan XL, Wang ZZ. Predicting prolonged postoperative ileus in gastric cancer patients based on bowel sounds using intelligent auscultation and machine learning. World J Gastrointest Surg 2024; 16(11): 3484-3498
URL: https://www.wjgnet.com/1948-9366/full/v16/i11/3484.htm
DOI: https://dx.doi.org/10.4240/wjgs.v16.i11.3484

Shi S, Lu C, Shan L, Yan L, Liang Y, Feng T, Chen Z, Chen X, Wu X, Liu SD, Duan XL, Wang ZZ. Predicting prolonged postoperative ileus in gastric cancer patients based on bowel sounds using intelligent auscultation and machine learning. World J Gastrointest Surg 2024; 16(11): 3484-3498 [PMID: 39649202 DOI: 10.4240/wjgs.v16.i11.3484]

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