Predictive model and risk analysis for outcomes in diabetic foot ulcer using eXtreme Gradient Boosting algorithm and SHapley Additive exPlanation

doi:10.4239/wjd.v16.i7.104789

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World Journal of Diabetes

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1948-9358

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Diabetes. Jul 15, 2025; 16(7): 104789
Published online Jul 15, 2025. doi: 10.4239/wjd.v16.i7.104789

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Figure 3 Confusion matrix of three classification models based on eXtreme Gradient Boosting. Different colors represent different frequencies, with the horizontal axis representing predicted values and the vertical axis representing actual values.

Citation: Gao L, Liu ZX, Wang JN. Predictive model and risk analysis for outcomes in diabetic foot ulcer using eXtreme Gradient Boosting algorithm and SHapley Additive exPlanation. World J Diabetes 2025; 16(7): 104789
URL: https://www.wjgnet.com/1948-9358/full/v16/i7/104789.htm
DOI: https://dx.doi.org/10.4239/wjd.v16.i7.104789

Gao L, Liu ZX, Wang JN. Predictive model and risk analysis for outcomes in diabetic foot ulcer using eXtreme Gradient Boosting algorithm and SHapley Additive exPlanation. World J Diabetes 2025; 16(7): 104789 [PMID: 40697589 DOI: 10.4239/wjd.v16.i7.104789]

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