title: Detecting Learning and Reasoning Patterns in a CDSS for Dementia Investigation.
abstract: 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.
authors.affiliation: Department of Computing Science, Umeå University, Sweden.
authors.forename: Helena
authors.initials: H
authors.lastname: Lindgren
authors.affiliation: Department of Computing Science, Umeå University, Sweden.
authors.forename: Chunli
authors.initials: C
authors.lastname: Yan
mesh_terms: D000066491:Clinical Decision-Making / Q000379:methods*; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D003661:Decision Support Techniques; D003704:Dementia / Q000175:diagnosis* / Q000628:therapy*; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D005103:Expert Systems; D006801:Humans; D000069550:Machine Learning; D010363:Pattern Recognition, Automated / Q000379:methods; D013813:Therapy, Computer-Assisted / Q000379:methods