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

Saved in:
Bibliographic Details
Title: Predicting Diabetic Foot Ulcer Outcomes: Machine Learning-Based Refinement of IWGDF-Approved Classifications for Outpatient Services.
Authors: Mostafavi F; Student Research Committee, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Amini MR; Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran., Mehrabi Y; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Rezvani M; Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran., Toutounchi M; Department of Photo Healing and Regeneration, Medical Laser Research Center, Yara Institute, ACECR, Tehran, Iran., Hashemi Nazari SS; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Source: Endocrinology, diabetes & metabolism [Endocrinol Diabetes Metab] 2026 May; Vol. 9 (3), pp. e70193.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley & Sons Ltd Country of Publication: England NLM ID: 101732442 Publication Model: Print Cited Medium: Internet ISSN: 2398-9238 (Electronic) Linking ISSN: 23989238 NLM ISO Abbreviation: Endocrinol Diabetes Metab Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first