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

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.

Democracy lessons in market-oriented schools : The case of Swedish upper secondary education

Based on recent ethnographic research, this article explores young people’s opportunities of formal and informal democracy learning and expressions of such learning in the highly market-influenced Swedish upper secondary education. With its ambitious democracy-fostering goals and far-reaching marketisation, Swedish education constitutes an interesting case in this respect. The analysis indicates that ‘voting with the feet’ emerges as an important way of exerting student influence. At the same time, young people’s voice is surprisingly neglected in classroom practice. Increased focus on performance and goal attainment tends to overshadow less ‘rewarding’ aspects of the curriculum, such as democracy teaching and learning, both from the side of teachers and students. Students are also increasingly expected to act as school representatives and to avoid giving negative impressions of their school.