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Detecting Learning and Reasoning Patterns in a CDSS for Dementia Investigation
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Arcum)
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2015 (English)In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 210, 739-742 p.Article in journal (Refereed) Published
Abstract [en]

Reasoning conducted in clinical practice is manifested through different and often combined reasoning and learning strategies, adjusted to the characteristics of the available information, the medical professional's experience and skills, and the available tools, such as clinical practice guidelines. This research outlines a design model for supporting the commonly used strategies. This design model was implemented into a clinical decision-support system (CDSS), in addition to a method for detecting reasoning strategies applied when using the CDSS. This method was applied in a case study, with preliminary results presented in this paper and will be further implemented in future studies.

Place, publisher, year, edition, pages
IOS Press, 2015. Vol. 210, 739-742 p.
National Category
Computer Science
Research subject
medicinsk informatik; människa-dator interaktion; Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-103668PubMedID: 25991251OAI: oai:DiVA.org:umu-103668DiVA: diva2:814398
Available from: 2015-05-26 Created: 2015-05-26 Last updated: 2017-12-04Bibliographically approved

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