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An iconic approach to the browsing of medical terminologies
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In: MEDINFO ; https://hal.archives-ouvertes.fr/hal-03479242 ; MEDINFO, 2019, Lyon, France (2019)
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Formalization of the semantics of iconic languages: An ontology-based method and four semantic-powered applications
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In: ISSN: 0950-7051 ; EISSN: 1872-7409 ; Knowledge-Based Systems ; https://hal.archives-ouvertes.fr/hal-01592749 ; Knowledge-Based Systems, Elsevier, 2017, 135, pp.159 - 179. ⟨10.1016/j.knosys.2017.08.011⟩ (2017)
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Formalisation de la sémantique des langages iconiques ; Formalisation de la sémantique des langages iconiques: Méthode à base d'ontologie et applications
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In: ISSN: 0992-499X ; EISSN: 1958-5748 ; Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle ; https://hal.archives-ouvertes.fr/hal-01574366 ; Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2016, 30 (5), pp.579-606. ⟨10.3166/RIA.30.579-606⟩ ; https://ria.revuesonline.com/article.jsp?articleId=36942 (2016)
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PyMedTermino: an open-source generic API for advanced terminology services.
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In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.archives-ouvertes.fr/hal-03650024 ; Studies in Health Technology and Informatics, IOS Press, 2015, 210, pp.924-8 (2015)
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A semi-automatic semantic method for mapping SNOMED CT concepts to VCM Icons.
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In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.archives-ouvertes.fr/hal-00912881 ; Studies in Health Technology and Informatics, IOS Press, 2013, 192, pp.42-6 (2013)
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Abstract:
International audience ; VCM (Visualization of Concept in Medicine) is an iconic language for representing key medical concepts by icons. However, the use of this language with reference terminologies, such as SNOMED CT, will require the mapping of its icons to the terms of these terminologies. Here, we present and evaluate a semi-automatic semantic method for the mapping of SNOMED CT concepts to VCM icons. Both SNOMED CT and VCM are compositional in nature; SNOMED CT is expressed in description logic and VCM semantics are formalized in an OWL ontology. The proposed method involves the manual mapping of a limited number of underlying concepts from the VCM ontology, followed by automatic generation of the rest of the mapping. We applied this method to the clinical findings of the SNOMED CT CORE subset, and 100 randomly-selected mappings were evaluated by three experts. The results obtained were promising, with 82 of the SNOMED CT concepts correctly linked to VCM icons according to the experts. Most of the errors were easy to fix.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
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URL: https://hal.archives-ouvertes.fr/hal-00912881
https://hal.archives-ouvertes.fr/hal-00912881/document
https://hal.archives-ouvertes.fr/hal-00912881/file/medinfo2013.pdf
https://hal.archives-ouvertes.fr/hal-00912881/file/hal-00912881_edited.pdf
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Validating the semantics of a medical iconic language using ontological reasoning.
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In: ISSN: 1532-0464 ; EISSN: 1532-0480 ; Journal of Biomedical Informatics ; https://hal.inria.fr/hal-00845359 ; Journal of Biomedical Informatics, Elsevier, 2013, 46 (1), pp.56-67. ⟨10.1016/j.jbi.2012.08.006⟩ (2013)
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| 7 |
Validating the semantics of a medical iconic language using ontological reasoning.
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In: ISSN: 1532-0464 ; EISSN: 1532-0480 ; Journal of Biomedical Informatics ; https://hal.archives-ouvertes.fr/hal-00912880 ; Journal of Biomedical Informatics, Elsevier, 2013, 46 (1), pp.56-67. ⟨10.1016/j.jbi.2012.08.006⟩ (2013)
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