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Automatic Processing of Anatomic Pathology Reports in the Italian Language to Enhance the Reuse of Clinical Data.
Viani, Natalia; Chiudinelli, Lorenzo; Tasca, Cristina; Zambelli, Alberto; Bucalo, Mauro; Ghirardi, Arianna; Barbarini, Nicola; Sfreddo, Eleonora; Sacchi, Lucia; Tondini, Carlo; Bellazzi, Riccardo.
Afiliação
  • Viani N; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Chiudinelli L; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Tasca C; ASST Papa Giovanni XXIII Hospital, Bergamo, Italy.
  • Zambelli A; ASST Papa Giovanni XXIII Hospital, Bergamo, Italy.
  • Bucalo M; BIOMERIS, Pavia, Italy.
  • Ghirardi A; ASST Papa Giovanni XXIII Hospital, Bergamo, Italy.
  • Barbarini N; BIOMERIS, Pavia, Italy.
  • Sfreddo E; ASST Papa Giovanni XXIII Hospital, Bergamo, Italy.
  • Sacchi L; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Tondini C; ASST Papa Giovanni XXIII Hospital, Bergamo, Italy.
  • Bellazzi R; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Stud Health Technol Inform ; 247: 715-719, 2018.
Article em En | MEDLINE | ID: mdl-29678054
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.
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Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Armazenamento e Recuperação da Informação / Idioma Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2018 Tipo de documento: Article
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Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Armazenamento e Recuperação da Informação / Idioma Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2018 Tipo de documento: Article