Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches.

Journal: BMC medical informatics and decision making
Published Date: Dec 23, 2019

Abstract

BACKGROUND: Text mining and natural language processing of clinical text, such as notes from electronic health records, requires specific consideration of the specialized characteristics of these texts. Deep learning methods could potentially mitigate domain specific challenges such as limited access to in-domain tools and data sets.

Authors

  • Rebecka Weegar
    Department of Computer and Systems Sciences, (DSV), Stockholm University, Sweden.
  • Alicia Pérez
    IXA Group, University of the Basque Country (UPV-EHU), Computer Engineering Faculty, P. Manuel Lardizabal, 1, 20018 Donostia-San Sebastián, Spain(1).
  • 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.
  • Maite Oronoz

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