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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| Main Authors: | Zixuan Liu, Dehua Wei, Jiangning Wang, Lei Gao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-13534-x |
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