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Development of temporal logic-based fuzzy decision support system for diagnosis of acute rheumatic fever/rheumatic heart disease

Development of temporal logic-based fuzzy decision support system for diagnosis of acute rheumatic fever/rheumatic heart disease

Pandey, Sanjib Raj, Ma, Jixin and Lai, Choi-Hong ORCID: 0000-0002-7558-6398 (2015) Development of temporal logic-based fuzzy decision support system for diagnosis of acute rheumatic fever/rheumatic heart disease. In: Research and Development in Intelligent Systems. Springer International Publishing Switzerland 2015, XXXII . Springer, Cham, Switzerland, pp. 213-228. ISBN 978-3-319-25030-4 ISSN 978-3-319-25032-8 (Online) (doi:https://doi.org/10.1007/978-3-319-25032-8_17)

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Abstract

In this paper we describe our research work in developing a Clinical Decision Support System (CDSS) for the diagnosis of Acute Rheumatic Fever (ARF)/Rheumatic Heart Diseases (RHD) in Nepal. This paper expressively emphasizes the three problems which have previously not been addressed, which are: (a) ARF in Nepal has created a lot of confusion in the diagnosis and treatment, due to the lack of standard unique procedures, (b) the adoption of foreign guideline is not effective and does not meet the Nepali environment and lifestyle, (c) using (our proposed method) of hybrid methodologies (knowledge-based, temporal theory and Fuzzy logic) together to design and develop a system to diagnose of ARF case an early stage in the English and Nepali version. The three tier architecture is constructed by integrating the MS Access for backend and C#.net for fronted to deployment of the system.

Item Type: Conference Proceedings
Title of Proceedings: Research and Development in Intelligent Systems
Uncontrolled Keywords: Temporal Theory, Fuzzy Logic, Clinic Decision Support System
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Centre for Computer & Computational Science
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Last Modified: 21 Nov 2017 10:06
Selected for GREAT 2016: None
Selected for GREAT 2017: GREAT a
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/16853

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