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Describing localized diseases in medical ontology: an FMA-based algorithm
Jean Charlet1, Laurent Mazuel2, Gunnar Declerck2
1Assistance Publique - Hôpitaux de Paris, Paris, France.
Abstract:
OntolUrgences is a termino-ontological resource developed to index and retrieve information in electronic Emergency Medical Record. In this project, we improved the ontology coverage to accommodate both anatomical and pathophysiological concepts in emergency medicine. This work lead to the automatic addition of 3,470 concepts and their underlying semantic formalization. In our method, we reuse and select the anatomical concepts relevant to emergency from FMA: To capture the anatomical specific concepts, (i) we involved Emergency practitioners and identified the key concepts from this domain; (ii) we applied an automatic algorithm to define the semantic relationships and integrated the result in the existing ontology.
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