Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An Intelligent System to Diagnose Chikungunya under Uncertainty
University of Chittagong, Bangladesh.ORCID iD: 0000-0002-7473-8185
International Islamic University Chittagong, Bangladesh.
International Islamic University Chittagong, Bangladesh.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. (Mobile and Pervasive Computing)ORCID iD: 0000-0003-0244-3561
2019 (English)In: Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, ISSN 2093-5374, E-ISSN 2093-5382, Vol. 10, no 2, p. 37-54Article in journal (Refereed) Published
Abstract [en]

Chikungunya is a virus-related disease, bring about by the virus called CHIKV that spreads throughmosquito biting. This virus first found in Tanzania, while blood from patients was isolated. Thecommon signs and symptoms, associated with Chikungunya are considered as fever, joint swelling,joint pain, muscle pain and headache. The examination of these signs and symptoms by the physician constitutes the typical preliminary diagnosis of this disease. However, the physician is unable tomeasure them with accuracy. Therefore, the preliminary diagnosis in most of the cases could sufferfrom inaccuracy, which leads to wrong treatment. Hence, this paper introduces the design and implementation of a belief rule based expert system (BRBES) which is capable to represent uncertainknowledge as well as inference under uncertainty. Here, the knowledge is illustrated by employing belief rule base while deduction is carried out by evidential reasoning. The real patient data of250 have been considered to demonstrate the accuracy and the robustness of the expert system. Acomparison has been performed with the results of BRBES and Fuzzy Logic Based Expert System(FLBES) as well as with the expert judgment. Furthermore, the result of BRBES has been contrastedwith various data-driven machine learning approaches, including ANN (Artificial Neural networks)and SVM (Support Vector Machine). The reliability of BRBESs was found better than those of datadriven machine learning approaches. Therefore, the BRBES presented in this paper could enable thephysician to conduct the analysis of Chikungunya more accurately.

Place, publisher, year, edition, pages
Korea: JoWUA , 2019. Vol. 10, no 2, p. 37-54
Keywords [en]
Belief Rule Base, Uncertainty, Evidential Reasoning, Expert System, Chikungunya
National Category
Computer Sciences Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-75300DOI: 10.22667/JOWUA.2019.06.30.037OAI: oai:DiVA.org:ltu-75300DiVA, id: diva2:1337393
Projects
A belief-rule-based DSS to assess flood risks by using wireless sensor networks
Funder
Swedish Research Council, 2014-4251
Note

Validerad;2019;Nivå 1;2019-08-14 (johcin)

Available from: 2019-07-14 Created: 2019-07-14 Last updated: 2019-08-14Bibliographically approved

Open Access in DiVA

fulltext(1665 kB)23 downloads
File information
File name FULLTEXT01.pdfFile size 1665 kBChecksum SHA-512
d7a3103a27957106fbc9a163b43ade0b7956f1bafd0fcd73ab12479a95af215d563db88b71289d1b29a5b948e5ab99f4cfe3fab8bb72e5ea95845e97a4394035
Type fulltextMimetype application/pdf

Other links

Publisher's full texthttp://isyou.info/jowua/papers/jowua-v10n2-3.pdf

Authority records BETA

Andersson, Karl

Search in DiVA

By author/editor
Hossain, Mohammad ShahadatAndersson, Karl
By organisation
Computer Science
In the same journal
Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
Computer SciencesMedia and Communication Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 23 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 104 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf