Development and temporal validation of an explainable machine learning model for predicting in-hospital diabetic foot ulcer in patients with type 2 diabetes using inflammatory–nutritional composite indices
- DOI
- 10.3389/fmed.2026.1938429
- Published
- 2026-10-23
- Container
- Frontiers in Medicine
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fmed.2026.1938429,
title = {Development and temporal validation of an explainable machine learning model for predicting in-hospital diabetic foot ulcer in patients with type 2 diabetes using inflammatory–nutritional composite indices},
author = {Xue Wang and Chao Li and Yanan Tuo and Bo Zhao and Ayiding Xiahati and Lu Fan and Paerhati Wahafu},
year = {2026},
journal = {Frontiers in Medicine},
doi = {10.3389/fmed.2026.1938429},
url = {https://doi.org/10.3389/fmed.2026.1938429}
}RIS
TY - JOUR TI - Development and temporal validation of an explainable machine learning model for predicting in-hospital diabetic foot ulcer in patients with type 2 diabetes using inflammatory–nutritional composite indices AU - Xue Wang AU - Chao Li AU - Yanan Tuo AU - Bo Zhao AU - Ayiding Xiahati AU - Lu Fan AU - Paerhati Wahafu PY - 2026 JO - Frontiers in Medicine DO - 10.3389/fmed.2026.1938429 UR - https://doi.org/10.3389/fmed.2026.1938429 ER -
APA
Wang, X., Li, C., Tuo, Y., Zhao, B., Xiahati, A., Fan, L., & Wahafu, P. (2026). Development and temporal validation of an explainable machine learning model for predicting in-hospital diabetic foot ulcer in patients with type 2 diabetes using inflammatory–nutritional composite indices. Frontiers in Medicine. https://doi.org/10.3389/fmed.2026.1938429
Source records
- crossref · retrieved 2026-11-08T17:56:42.787Z