Setiawan, NB, Natalia, F, Ferdinand, FV, Sudirman, S and Ko, CS (2021) Classification of Skin Diseases and Disorders using Convolutional Neural Network on a Mobile Application. ICIC Express Letters, Part B: Applications, 12 (8). pp. 715-722. ISSN 2185-2766

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Abstract

Skin diseases and disorders are common, yet underestimated, in Indonesia. More serious types of them are often left untreated for a long period of time because of the lack of information regarding the therapeutic process of its treatment and available medical support. In this study, we use a deep learning approach using deep convolutional neural network to classify different types of skin diseases and disorders, namely psoriasis, ringworm, and eczema. The algorithm is implemented as an Android-based mobile application app because of the pervasive use of the Android platform in Indonesia. The app development uses the TensorFlow library for its low-level implementation of deep learning and the Android Studio IDE for high-level processes. In addition, the application also provides information on how to treat any skin diseases, it also provides a list of hospitals in the district and the city where the user resides if they wish to get medical treatment immediately. The artefact of this research is available on the PlayStore for people to download and use.

Item Type:	Article
Uncontrolled Keywords:	Skin diseases and disorders; Machine Learning; Deep Convolutional Neural Network; TensorFlow; Android Studio
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software R Medicine > R Medicine (General) R Medicine > RM Therapeutics. Pharmacology
Divisions:	Pharmacy & Biomolecular Sciences
Publisher:	ICIC International
Date Deposited:	07 Oct 2021 10:44
Last Modified:	07 Oct 2021 10:45
DOI or ID number:	10.24507/icicelb.12.08.715
URI:	https://researchonline.ljmu.ac.uk/id/eprint/15612

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