Research Article
Enrichment of Medical Ontologies from Textual Clinical Reports: Towards Improving Linking Human Diseases and Signs
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@INPROCEEDINGS{10.1007/978-3-030-34863-2_10, author={Adama Sow and Abdoulaye Guiss\^{e} and Oumar Niang}, title={Enrichment of Medical Ontologies from Textual Clinical Reports: Towards Improving Linking Human Diseases and Signs}, proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. Third EAI International Conference, InterSol 2019, Cairo, Egypt, February 14--15, 2019, Proceedings}, proceedings_a={INTERSOL}, year={2019}, month={11}, keywords={Medical diagnosis Medical ontologies Ontologies integration Knowledge engineering E-health system}, doi={10.1007/978-3-030-34863-2_10} }- Adama Sow
Abdoulaye Guissé
Oumar Niang
Year: 2019
Enrichment of Medical Ontologies from Textual Clinical Reports: Towards Improving Linking Human Diseases and Signs
INTERSOL
Springer
DOI: 10.1007/978-3-030-34863-2_10
Abstract
Healing a sick patient requires a medical diagnosis before proposing appropriate treatment. With the explosion of medical knowledges, we are interested in their exploitation to help clinician in collecting informations during diagnostic process. This article focuses on the development of a data model targeting knowledges available in both formal and non-formal resources. Our goal is to merge the strengths of all these resources to provide access to a variety of shared knowledges facilitating the identification and association of human diseases and to all of their available relevant characteristic signs such as symptoms and clinical signs.
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