Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora.

Journal: Journal of biomedical informatics
Published Date: May 16, 2017

Abstract

OBJECTIVE: The goal of this study is to investigate entity recognition within Electronic Health Records (EHRs) focusing on Spanish and Swedish. Of particular importance is a robust representation of the entities. In our case, we utilized unsupervised methods to generate such representations.

Authors

  • Alicia Pérez
    IXA Group, University of the Basque Country (UPV-EHU), Computer Engineering Faculty, P. Manuel Lardizabal, 1, 20018 Donostia-San Sebastián, Spain(1).
  • Rebecka Weegar
    Department of Computer and Systems Sciences, (DSV), Stockholm University, Sweden.
  • Arantza Casillas
    IXA Group, University of the Basque Country (UPV-EHU), Computer Engineering Faculty, P. Manuel Lardizabal, 1, 20018 Donostia-San Sebastián, Spain(1). Electronic address: arantza.casillas@ehu.eus.
  • Koldo Gojenola
    IXA Group, University of the Basque Country (UPV-EHU), Computer Engineering Faculty, P. Manuel Lardizabal, 1, 20018 Donostia-San Sebastián, Spain(1).
  • Maite Oronoz
  • Hercules Dalianis
    Department of Computer and Systems Sciences, (DSV), Stockholm University, Sweden.

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