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A Belief Rule based Expert System to Diagnose Dengue Fever under Uncertainty
University of Chittagong, Bangladesh.ORCID iD: 0000-0002-7473-8185
University of Chittagong.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. (Mobile and Pervasive Computing)ORCID iD: 0000-0003-0244-3561
2017 (English)In: Proceedings of Computing Conference 2017 / [ed] Liming Chen, Nikola Serbedzija, Kami Makki, Nazih Khaddaj Mallat, Kohei Arai, 2017, 179-186 p.Conference paper, (Refereed)
Abstract [en]

Dengue Fever is a debilitating mosquito-borne disease, causing sudden fever, leading to fatality in many cases. A Dengue patient is diagnosed by the physicians by looking at the various signs, symptoms and risk factors of this disease. However, these signs, symptoms and the risk factors cannot be measured with 100% certainty since various types of uncertainties such as imprecision, vagueness, ambiguity, and ignorance are associated with them. Hence, it is difficult for the physicians to diagnose the dengue patient accurately since they don’t consider the uncertainties as mentioned. Therefore, this paper presents the design, development and applications of an expert system by incorporating belief rule base as the knowledge representation schema as well as the evidential reasoning as the inference mechanism with the capability of handling various types of uncertainties to diagnose dengue fever. The results generated from the expert system are more reliable than from fuzzy rule based system or from human expert.

Place, publisher, year, edition, pages
2017. 179-186 p.
National Category
Natural Sciences Computer Science
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-64892ISBN: 978-1-5090-5442-8 (electronic)ISBN: 978-1-5090-5443-5 (electronic)OAI: oai:DiVA.org:ltu-64892DiVA: diva2:1127778
Conference
Computing Conference 2017
Projects
BRBWSN
Funder
Swedish Research Council, 2014-4251
Available from: 2017-07-19 Created: 2017-07-19 Last updated: 2017-07-19

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CiteExportLink to record
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Citation style
  • apa
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