Information extraction from Italian medical reports: An ontology-driven approach.

Journal: International journal of medical informatics
Published Date: Mar 1, 2018

Abstract

OBJECTIVE: In this work, we propose an ontology-driven approach to identify events and their attributes from episodes of care included in medical reports written in Italian. For this language, shared resources for clinical information extraction are not easily accessible.

Authors

  • Natalia Viani
    Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100, Pavia, PV, Italy. Electronic address: natalia.viani01@universitadipavia.it.
  • Cristiana Larizza
    Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100, Pavia, PV, Italy.
  • Valentina Tibollo
    3 IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Pavia, Italy.
  • Carlo Napolitano
    IRCCS Istituti Clinici Scientifici Maugeri, Via Salvatore Maugeri 10, 27100, Pavia, PV, Italy.
  • Silvia G Priori
    IRCCS Istituti Clinici Scientifici Maugeri, Via Salvatore Maugeri 10, 27100, Pavia, PV, Italy; Department of Molecular Medicine, University of Pavia, Via Forlanini, 27100, Pavia, PV, Italy.
  • Riccardo Bellazzi
    Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Lucia Sacchi
    1 Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.

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