Conceptual graph operations for formal visual reasoning in the medical domain

B. Kamsu-Foguem, G. Tchuenté-Foguem, C. Foguem
2014 IRBM  
To cite this this version : Kamsu-Foguem, Bernard and Tchuenté Foguem, Germaine and Foguem, Clovis Conceptual graph operations for formal visual reasoning in the medical domain. (2014) IRBM, vol. 35 (n° 5). pp. 262-270. ISSN 1959-0318 Open Archive TOULOUSE Archive Ouverte (OATAO) OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in :
more » ... fr/ Eprints ID : 12272 Abstract Objective. -Conceptual graphs (CGs) are used to represent clinical guidelines because they support visual reasoning with a logical background, making them a potentially valuable representation for guidelines. Materials and methods. -Conceptual graph formalism has an essential and basic component: a formal vocabulary that drives all of the other mechanisms, notably specialization and projection. The graph's theoretical operations, such as projection, rules, derivation, constraints, probabilities and uncertainty, support diagrammatic reasoning. Results. -A conceptual graph's graphical user interface includes a multilingual vocabulary management, some query and decision-making facilities and visual graph representations that are simple and interesting for user interactions. The described proposition using the Conceptual Graph user interface (CoGui) improves the performance of the actors in the diagnostic context of heart failure with preserved ejection fraction. Discussion. -CGs capture the essential features of the medical processes underlying clinical reasoning. CGs are indeed useful as a way for the physician to represent guidelines, and well-defined semantic representations allow users to have a maximal understanding of the knowledge reasoning process. Conclusion. -CG operations of visual representations that uncover some of the actual complexities of clinicians' reasoning have been tested in clinical guideline comprehension and used to translate text and diagrammatic guidelines into computer interpretable representations.
doi:10.1016/j.irbm.2014.04.001 fatcat:frwjm3qcinhz5ecq3r6wwinlva