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Optimised dose titration for Duodopa treatment based on simulation experiments – implementation in a decision support system
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2009 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

The aim of this work was to design a set of rules for levodopa infusion dose adjustment in Parkinson’s disease based on a simulation experiments. Using this simulator, optimal infusions dose in different conditions were calculated. There are seven conditions (-3 to +3)appearing in a rating scale for Parkinson’s disease patients. By finding mean of the differences between conditions and optimal dose, two sets of rules were designed. The set of rules was optimized by several testing. Usefulness for optimizing the titration procedure of new infusion patients based on rule-based reasoning was investigated. Results show that both of the number of the steps and the errors for finding optimal dose was shorten by new rules. At last, the dose predicted with new rules well on each single occasion of majority of patients in simulation experiments.

Place, publisher, year, edition, pages
Borlänge, 2009. , 35 p.
Keyword [en]
Parkinson disease, Simulation experiments, Optimize rules, data analysis, decision systemm
Identifiers
URN: urn:nbn:se:du-3978OAI: oai:dalea.du.se:3978DiVA: diva2:518636
Uppsok
Technology
Supervisors
Available from: 2009-05-18 Created: 2009-05-18 Last updated: 2012-04-24Bibliographically 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