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

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.  

Country : Sri Lanka

1 N.H.P. Ravi Supunya Swarnakantha2 J.M. Dulani Maheshika Jayasinghe3 W.A. Ishan Kalpadith4 S.G. Jayani Chamika5 Mishara Samadhi D.H6 P.U. Wijesinghe

  1. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  5. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  6. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 11, November 2023 pp. 335-342

doi.org/10.47001/IRJIET/2023.711046

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