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Stud Health Technol Inform ; 247: 715-719, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29678054

RESUMO

Medical reports often contain a lot of relevant information in the form of free text. To reuse these unstructured texts for biomedical research, it is important to extract structured data from them. In this work, we adapted a previously developed information extraction system to the oncology domain, to process a set of anatomic pathology reports in the Italian language. The information extraction system relies on a domain ontology, which was adapted and refined in an iterative way. The final output was evaluated by a domain expert, with promising results.


Assuntos
Armazenamento e Recuperação da Informação , Idioma , Processamento de Linguagem Natural , Pesquisa Biomédica , Mineração de Dados , Humanos , Itália
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