Early detection of diabetic foot ulcer using IoT and ML

Early detection of diabetic foot ulcer using IoT and ML

This study explores the critical realm of Diabetic Foot Ulcers (DFUs) and proposes an innovative approach for early detection using Internet of Things (IoT) and Machine Learning (ML). A chronic metabolic condition with elevated blood glucose levels is called diabetes mellitus. A foot ulcer is an ope...

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Bibliographic Details
Main Authors: Berugu Sanjana, Bajjuri Nagaraju, Reddy M. Shiva, Ramya T.
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:MATEC Web of Conferences
Subjects:
diabetic foot ulcer
diabetes mellitus
sensors
wearable shoe
internet of things
ml algorithms
alert system
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01152.pdf

Internet

https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01152.pdf

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