Development of an XGBoost-based prediction model for wound recurrence risk in diabetic foot ulcer patients treated with antibiotic-loaded bone cement

Development of an XGBoost-based prediction model for wound recurrence risk in diabetic foot ulcer patients treated with antibiotic-loaded bone cement

BackgroundThis study aims to improve the surgical cure rate, develop interventions to reduce the incidence of postoperative nonunion or recurrence of diabetic foot wounds, and formulate an optimal prediction model to quantify the predictive risk value of antibiotic bone-cement failure in the treatme...

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Bibliographic Details
Main Authors: Yi Zhang, Xingyu Sun, Cheng Cheng, Nianzong Hou, Shiliang Han, Xin Tang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Endocrinology
Subjects:
XGBoost
decision curve analysis
feature selection
diabetic foot ulceration
antibiotic bone cement
diabetic foot
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1610884/full
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