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

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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

Retrospective Study

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

Table 2 Parameter optimization results of eXtreme Gradient Boosting model

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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