Now showing items 1-6 of 6

    • Appnalyze 

      Medina Herrera, Salvador (Universitat Politècnica de Catalunya, 2015-05-29)
      Master thesis (pre-Bologna period)
      Open Access
      Este proyecto tiene por objetivo presentar y analizar las bases de una posible solución al problema anteriormente planteado. Estudiaremos la aplicación técnicas de Machine Learning, en particular de diferentes modelos ...
    • Bootstrapping for electronic health record anonymization with minimal supervision 

      Medina Herrera, Salvador (Universitat Politècnica de Catalunya, 2017-01-25)
      Master thesis
      Open Access
      In this work, we propose a bootstrapping strategy so as to enrich anonymization models for Catalan medical reports taking profit of huge sets of unlabeled documents.
    • Building a Spanish/Catalan health records corpus with very sparse protected information labelled 

      Medina Herrera, Salvador; Turmo Borras, Jorge (2018)
      Conference lecture
      Open Access
      Electronic Health Records (EHR) are an important resource for the research and study of diseases, treatments and symptoms. However, due to data protection laws, information that could potentially compromise privacy must ...
    • Joint classification of key-phrases and relations in electronic health documents 

      Medina Herrera, Salvador; Turmo Borras, Jorge (CEUR-WS.org, 2018)
      Conference report
      Open Access
      This paper describes the approach presented by the TALP team for Task 3 of TASS-2018: a convolutional neural network to jointly deal with classification of key-phrases and relationships in eHealth documents written in ...
    • Semi-supervised learning for disabilities detection on English and Spanish biomedical text 

      Medina Herrera, Salvador; Turmo Borras, Jorge; Loharja, Henry; Padró, Lluís (2018)
      Conference report
      Open Access
      This paper describes the disability detection model approaches presented by UPC’s TALP 3 team for the DIANN 2018 shared task. The best of those approaches was ranked in 3rd place for exact-matching of disability detection. ...
    • Talp-UPC at eHealth-KD challenge 2019: A joint model with contextual embeddings for clinical information extraction 

      Medina Herrera, Salvador; Turmo Borras, Jorge (CEUR-WS.org, 2019)
      Conference report
      Open Access
      Most eHealth entity recognition and relation extraction models tackle the identification of entities and relations with independent specialized models. In this article, we show how a single combined model can exploit the ...