Explainable machine learning for differential diagnosis of diabetic foot infection and osteomyelitis: a two-center study and clinically applicable web calculator using routine blood biomarkers

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-11-11
DOI
https://doi.org/10.1186/s12911-025-03236-9
Citations
1
Primary Topic
Diabetic Foot Ulcer Assessment and Management
Type
article
Field-Weighted Citation Impact
1.29

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article

Explainable machine learning for differential diagnosis of diabetic foot infection and osteomyelitis: a two-center study and clinically applicable web calculator using routine blood biomarkers

Parhat Yasin, Shiming Dong, Xinghua Song, Alimujiang Yusufu et al.
1 citations
BMC Medical Informatics and Decision Making
Diabetic Foot Ulcer Assessment and Management
1.29
article

Explainable machine learning for differential diagnosis of diabetic foot infection and osteomyelitis: a two-center study and clinically applicable web calculator using routine blood biomarkers

Parhat Yasin, Shiming Dong, Xinghua Song, Alimujiang Yusufu, Yasen Yimit, Zubaidanmu Aizezi, Maihemuti Yakufu
article en
1 citations

Abstract

No abstract available for this paper.
BMC Medical Informatics and Decision MakingVol. 25(1)
Xinjiang Medical University (CN), Xinjiang Production and Construction Corps (CN), First Affiliated Hospital of Xinjiang Medical University (CN), Sixth Affiliated Hospital of Xinjiang Medical University (CN)
National Natural Science Foundation of China, Xinjiang Medical University
Openalex Percentile: Top 14%
Diabetic Foot Ulcer Assessment and Management
1.29
DOIOpen Access PDFOpenAlex
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