title: Processing medical reports to automatically populate ontologies.
abstract: Medical reports are, quite often, written and stored in computer systems in a non-structured free text form. As a consequence, the information contained in these reports is not easily available and it is not possible to take it into account by medical decision support systems. We propose a methodology to automatically process and analyze medical reports, identifying concepts and their instances, and populating a new ontology. This methodology is based in natural language processing techniques using linguistic and statistical information. The proposed system was applied successfully to a set of medical reports from the Veterinary Hospital of the University of Évora.
authors: University of Évora, Évora, Portugal. pq@uevora.pt
authors: Luís
authors: L
authors: Borrego
authors: Paulo
authors: P
authors: Quaresma
mesh_terms: D004282:Documentation / Q000379:methods*; D057286:Electronic Health Records; D016247:Information Storage and Retrieval / Q000379:methods*; D008498:Medical Record Linkage / Q000379:methods*; D009323:Natural Language Processing; D011174:Portugal; D018875:Vocabulary, Controlled