Dermedys: Android-based dermatological diagnostic and analytic expert system

This paper describes a study to develop a ubiquitous expert system that aims to diagnose dermatological ailment present in a user. Diagnosing dermatological ailments has proven challenging due to the characteristic similarity in the symptoms of various diseases which usually require biopsies that ar...

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Main Authors:	Adamu, Abdul-Hakeem, Akin-Bashiru, Tumilara, Salleh, Norsaremah
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2017
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/62064/ http://irep.iium.edu.my/62064/ http://irep.iium.edu.my/62064/ http://irep.iium.edu.my/62064/7/62064%20Dermedys%20%20Android-based%20Dermatological.pdf http://irep.iium.edu.my/62064/8/62064-Dermedys%20Android-based%20dermatological%20diagnostic-SCOPUS.pdf

id	iium-62064
recordtype	eprints
spelling	iium-620642018-06-26T08:06:32Z http://irep.iium.edu.my/62064/ Dermedys: Android-based dermatological diagnostic and analytic expert system Adamu, Abdul-Hakeem Akin-Bashiru, Tumilara Salleh, Norsaremah Q Science (General) This paper describes a study to develop a ubiquitous expert system that aims to diagnose dermatological ailment present in a user. Diagnosing dermatological ailments has proven challenging due to the characteristic similarity in the symptoms of various diseases which usually require biopsies that are difficult to accurately read. This has brought about artificial intelligence researches into the automated means of accurately diagnosing such diseases. The algorithms, which have been designed although with nearly 98% of accuracies, are usually too heavy to work on pervasive systems, and also require histopathological inputs from the user. In this study, a system implementing a backward chaining algorithm using logical inferences, abduction, deduction, and induction was designed in such a way that it is lightweight enough to run on mobile phones. An android application, ‘Dermedys’ with a knowledge base of five erythemato-squamous diseases was developed to implement the algorithm. IEEE 2017-10-23 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/62064/7/62064%20Dermedys%20%20Android-based%20Dermatological.pdf application/pdf en http://irep.iium.edu.my/62064/8/62064-Dermedys%20Android-based%20dermatological%20diagnostic-SCOPUS.pdf Adamu, Abdul-Hakeem and Akin-Bashiru, Tumilara and Salleh, Norsaremah (2017) Dermedys: Android-based dermatological diagnostic and analytic expert system. In: 8th International Conference on Information Technology (ICIT), 17-18th May 2017, Amman, Jordan. http://ieeexplore.ieee.org/document/8080004/ 10.1109/ICITECH.2017.8080004
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	Q Science (General)
spellingShingle	Q Science (General) Adamu, Abdul-Hakeem Akin-Bashiru, Tumilara Salleh, Norsaremah Dermedys: Android-based dermatological diagnostic and analytic expert system
description	This paper describes a study to develop a ubiquitous expert system that aims to diagnose dermatological ailment present in a user. Diagnosing dermatological ailments has proven challenging due to the characteristic similarity in the symptoms of various diseases which usually require biopsies that are difficult to accurately read. This has brought about artificial intelligence researches into the automated means of accurately diagnosing such diseases. The algorithms, which have been designed although with nearly 98% of accuracies, are usually too heavy to work on pervasive systems, and also require histopathological inputs from the user. In this study, a system implementing a backward chaining algorithm using logical inferences, abduction, deduction, and induction was designed in such a way that it is lightweight enough to run on mobile phones. An android application, ‘Dermedys’ with a knowledge base of five erythemato-squamous diseases was developed to implement the algorithm.
format	Conference or Workshop Item
author	Adamu, Abdul-Hakeem Akin-Bashiru, Tumilara Salleh, Norsaremah
author_facet	Adamu, Abdul-Hakeem Akin-Bashiru, Tumilara Salleh, Norsaremah
author_sort	Adamu, Abdul-Hakeem
title	Dermedys: Android-based dermatological diagnostic and analytic expert system
title_short	Dermedys: Android-based dermatological diagnostic and analytic expert system
title_full	Dermedys: Android-based dermatological diagnostic and analytic expert system
title_fullStr	Dermedys: Android-based dermatological diagnostic and analytic expert system
title_full_unstemmed	Dermedys: Android-based dermatological diagnostic and analytic expert system
title_sort	dermedys: android-based dermatological diagnostic and analytic expert system
publisher	IEEE
publishDate	2017
url	http://irep.iium.edu.my/62064/ http://irep.iium.edu.my/62064/ http://irep.iium.edu.my/62064/ http://irep.iium.edu.my/62064/7/62064%20Dermedys%20%20Android-based%20Dermatological.pdf http://irep.iium.edu.my/62064/8/62064-Dermedys%20Android-based%20dermatological%20diagnostic-SCOPUS.pdf
first_indexed	2023-09-18T21:27:59Z
last_indexed	2023-09-18T21:27:59Z
_version_	1777412320631193600

Dermedys: Android-based dermatological diagnostic and analytic expert system

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