Readings in medical artificial intelligence: the first decade
Readings in medical artificial intelligence: the first decade
CYC, WordNet, and EDR: critiques and responses
Communications of the ACM
Cognitive models of directional inference in expert medical reasoning
Expertise in context
Journal of Biomedical Informatics
Emerging paradigms of cognition in medical decision-making
Journal of Biomedical Informatics
Detecting adverse events for patient safety research: a review of current methodologies
Journal of Biomedical Informatics - Patient safety
A cognitive taxonomy of medical errors
Journal of Biomedical Informatics
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Cognitive Systems Research
Medical informatics: reasoning methods
Artificial Intelligence in Medicine
Applying hybrid reasoning to mine for associative features in biological data
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Towards open decision support systems based on semantic focused crawling
Expert Systems with Applications: An International Journal
Cognitive simulators for medical education and training
Journal of Biomedical Informatics
A typology to support HIS design for collaborative healthcare delivery
Proceedings of the 2010 ICSE Workshop on Software Engineering in Health Care
Experienced physicians and automatic generation of decision rules from clinical data
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Deviations from protocol in a complex Trauma environment: Errors or innovations?
Journal of Biomedical Informatics
Recovery at the edge of error: Debunking the myth of the infallible expert
Journal of Biomedical Informatics
Towards personalized decision support in the dementia domain based on clinical practice guidelines
User Modeling and User-Adapted Interaction
Artificial Intelligence in Medicine
Using experts feedback in clinical case resolution and arbitration as accuracy diagnosis methodology
Computers in Biology and Medicine
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Reasoning strategies are a key component in many medical tasks, including decision making, clinical problem solving, and understanding of medical texts. Identification of reasoning strategies used by clinicians may prove critical to the optimal design of decision support systems. This paper presents a formal method of cognitive-semantic analysis for the identification and characterization of reasoning strategies deployed in medical tasks and demonstrates its use through specific examples. Although semantic analysis was originally developed in the investigation of knowledge structures, it can also be applied to identify the reasoning and decision processes used by physicians and medical trainees in clinical tasks. Assumptions underlying the methods, as well as illustrations of their use in diagnostic explanation tasks, are presented. We discuss semantic analysis in the context of the current interests in developing medical ontologies and argue that a frame-based propositional analytic methodology can provide a systematic way of addressing the construction of such ontologies. Although the application of propositional analysis methods has some limitations, we show how such limitations are being addressed and present some examples of information tools that have been developed to ease, and make more systematic, the process of analysis.