International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

“Heal-Derm”: Diabetic Skin Infections Detection System through a Mobile Application

N.H.P. Ravi Supunya SwarnakanthaDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri LankaJ.M. Dulani Maheshika JayasingheDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri LankaW.A. Ishan KalpadithDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri LankaS.G. Jayani ChamikaDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri LankaMishara Samadhi D.HDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri LankaP.U. WijesingheDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

Vol 7 No 11 (2023): Volume 7, Issue 11, November 2023 | Pages: 335-342

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 10-11-2023

doi Logo doi.org/10.47001/IRJIET/2023.711046

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Abstract

Public health in Sri Lanka has considerable obstacles due to the prevalence of undiagnosed diabetes and a lack of awareness of diabetic diseases. Many people do not become aware of having diabetes until it's already had terrible effects. In this study, we present a mobile application that uses image processing and machine learning techniques to identify and track common skin diseases linked to diabetes, such as cellulitis, Acanthosis nigricans, nail abnormalities, and foot ulcers. The mechanisms that are already in place exclusively concentrate on foot ulcers, ignoring other significant illnesses. By giving users a way to evaluate their diabetes and spot potential skin infections through changes to their body or skin, the smartphone application intends to empower people with diabetes. People can seek appropriate treatment, lower their risk of complications, and possibly save lives by quickly identifying these illnesses. The suggested solution calls for specific domain knowledge in dermatology, medical imaging, image processing, and machine learning. This study intends to improve diabetes care and the avoidance of diabetic skin infections by addressing the limitations in current detection systems.  

Keywords

diabetes, image processing, machine learning, dermatology, mobile application


Citation of this Article

N.H.P. Ravi Supunya Swarnakantha, J.M. Dulani Maheshika Jayasinghe, W.A. Ishan Kalpadith, S.G. Jayani Chamika, Mishara Samadhi D.H, P.U. Wijesinghe, ““Heal-Derm”: Diabetic Skin Infections Detection System through a Mobile Application” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 11, pp 335-342, November 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.711046

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