Construction and validation of a machine learning algorithm-based predictive model for difficult colonoscopy insertion

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World Journal of Gastrointestinal Endoscopy

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1948-5190

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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 Endosc. Jul 16, 2025; 17(7): 108307
Published online Jul 16, 2025. doi: 10.4253/wjge.v17.i7.108307

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Figure 6 Nomogram prediction model incorporating selected risk factors. SAS: Self-Rating Anxiety Scale.

Citation: Gao RX, Wang XL, Tian MJ, Li XM, Zhang JJ, Wang JJ, Gao J, Zhang C, Li ZT. Construction and validation of a machine learning algorithm-based predictive model for difficult colonoscopy insertion. World J Gastrointest Endosc 2025; 17(7): 108307
URL: https://www.wjgnet.com/1948-5190/full/v17/i7/108307.htm
DOI: https://dx.doi.org/10.4253/wjge.v17.i7.108307

Gao RX, Wang XL, Tian MJ, Li XM, Zhang JJ, Wang JJ, Gao J, Zhang C, Li ZT. Construction and validation of a machine learning algorithm-based predictive model for difficult colonoscopy insertion. World J Gastrointest Endosc 2025; 17(7): 108307 [PMID: 40677572 DOI: 10.4253/wjge.v17.i7.108307]

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