Predicting Diabetic Foot Ulcer Outcomes: Machine Learning‐Based Refinement of IWGDF‐Approved Classifications for Outpatient Services

ABSTRACT Introduction This study aimed to validate and compare six IWGDF‐approved classification systems for predicting poor prognostic outcomes in diabetic foot ulcers (DFUs), using the same sample in Iran. We also proposed modifications to enhance the performance and feasibility of these tools, in...

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Bibliografische gegevens

Hoofdauteurs:	Farideh Mostafavi, Mohammad Reza Amini, Yadollah Mehrabi, Melina Rezvani, Mehrangiz Toutounchi, Seyed Saeed Hashemi Nazari
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Wiley 2026-05-01
Reeks:	Endocrinology, Diabetes & Metabolism
Onderwerpen:	diabetic foot foot ulcer/ulceration machine learning ulcer classification validation
Online toegang:	https://doi.org/10.1002/edm2.70193
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