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A fuzzy rule-based decision support system for Duodopa treatment in Parkinson
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0003-0403-338X
Dalarna University, School of Technology and Business Studies, Computer Engineering.
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2006 (English)In: 23rd annual workshop of the Swedish Artificial Intelligence Society, Umeå, 2006Conference paper, (Refereed)
Abstract [en]

A decision support system (DSS) was implemented based on a fuzzy logic inference system (FIS) to provide assistance in dose alteration of Duodopa infusion in patients with advanced Parkinson’s disease, using data from motor state assessments and dosage. Three-tier architecture with an object oriented approach was used. The DSS has a web enabled graphical user interface that presents alerts indicating non optimal dosage and states, new recommendations, namely typical advice with typical dose and statistical measurements. One data set was used for design and tuning of the FIS and another data set was used for evaluating performance compared with actual given dose. Overall goodness-of-fit for the new patients (design data) was 0.65 and for the ongoing patients (evaluation data) 0.98. User evaluation is now ongoing. The system could work as an assistant to clinical staff for Duodopa treatment in advanced Parkinson’s disease.

Place, publisher, year, edition, pages
Umeå, 2006.
Series
Report / UMINF, ISSN 0348-0542
Keyword [en]
Fuzzy logic, decision support system, Parkinson, Duodopa, levodopa infusion, fuzzy inference system
Identifiers
URN: urn:nbn:se:du-1916OAI: oai:dalea.du.se:1916DiVA: diva2:521576
Conference
23rd annual workshop of the Swedish Artificial Intelligence Society , Umeå, May, 2006
Available from: 2006-03-07 Created: 2006-03-07 Last updated: 2015-06-01Bibliographically approved

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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