Smoothing dense spaces for improved relation extraction between drugs and adverse reactions.

Journal: International journal of medical informatics
Published Date: May 13, 2019

Abstract

BACKGROUND AND OBJECTIVE: This work aims at extracting Adverse Drug Reactions (ADRs), i.e. a harm directly caused by a drug at normal doses, from Electronic Health Records (EHRs). The lack of readily available EHRs because of confidentiality issues and their lexical variability make the ADR extraction challenging. Furthermore, ADRs are rare events. Therefore, efficient representations against data sparsity are needed.

Authors

  • Sara Santiso
    IXA group, University of the Basque Country (UPV-EHU), Manuel Lardizabal 1, 20080 Donostia, Spain. Electronic address: sara.santiso@ehu.eus.
  • 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.

Keywords

External Resources

Popular Topics
Recent Journals