A Review of Recent Work in Transfer Learning and Domain Adaptation for Natural Language Processing of Electronic Health Records.

Journal: Yearbook of medical informatics
Published Date: Sep 3, 2021

Abstract

OBJECTIVES: We survey recent work in biomedical NLP on building more adaptable or generalizable models, with a focus on work dealing with electronic health record (EHR) texts, to better understand recent trends in this area and identify opportunities for future research.

Authors

  • Egoitz Laparra
    School of Information, University of Arizona, Tucson, USA.
  • Aurelie Mascio
    Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK.
  • Sumithra Velupillai
    Department of Computer and Systems Sciences (DSV), Stockholm University, Stockholm, Sweden; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
  • Timothy Miller
    School of Computing and Information Systems, University of Melbourne, Victoria 3010, Australia.

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