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Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Martínez-Costa, C; Bosca, D; Legaz-García, MC; Tao, C; Fernández Breis, JT; Schulz, S; Chute, CG.
Isosemantic rendering of clinical information using formal ontologies and RDF.
Stud Health Technol Inform. 2013; 192(4):1085-1085
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- Leading authors Med Uni Graz
- MARTINEZ COSTA Catalina
- Co-authors Med Uni Graz
- Schulz Stefan
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- Abstract:
- The generation of a semantic clinical infostructure requires linking ontologies, clinical models and terminologies [1]. Here we describe an approach that would permit data coming from different sources and represented in different standards to be queried in a homogeneous and integrated way. Our assumption is that data providers should be able to agree and share the meaning of the data they want to exchange and to exploit. We will describe how Clinical Element Model (CEM) and OpenEHR datasets can be jointly exploited in Semantic Web environments.
- Find related publications in this database (using NLM MeSH Indexing)
- Artificial Intelligence -
- Clinical Coding - methods
- Electronic Health Records -
- Information Storage and Retrieval - methods
- Medical Record Linkage - methods
- Natural Language Processing -
- Programming Languages -
- Semantics -
- Vocabulary, Controlled -