A fuzzy rule-based decision support system for Duodopa treatment in Parkinson

Document identifier: oai:dalea.du.se:1916
Keyword: Fuzzy logic, Decision support system, Parkinson, Duodopa, Levodopa infusion, Fuzzy inference system
Publication year: 2006
Relevant Sustainable Development Goals (SDGs):
SDG 3 Good health and wellbeing
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

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.

Authors

Mobyen Ahmed

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Jerker Westin

Högskolan Dalarna; Datateknik
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Dag Nyholm

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Mark Dougherty

Högskolan Dalarna; Datateknik
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Torgny Groth

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