Predicting major amputation risk in diabetic foot ulcers using comparative machine learning models for enhanced clinical decision-making

Predicting major amputation risk in diabetic foot ulcers using comparative machine learning models for enhanced clinical decision-making

Abstract It is to develop a predictive model utilizing machine learning techniques to promptly identify patients with diabetic foot ulcers (DFU) who may require major amputation upon their initial admission. A total of 598 DFU patients were admitted to a tertiary hospital in Beijing. We employed syn...

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Bibliographic Details
Main Authors: Zixuan Liu, Dehua Wei, Jiangning Wang, Lei Gao
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Diabetic foot
Major amputation
Risk-factors
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-13534-x
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https://doi.org/10.1038/s41598-025-13534-x

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