Machine Learning and Natural Language Processing in Mental Health: Systematic Review.

Journal: Journal of medical Internet research
Published Date: May 4, 2021

Abstract

BACKGROUND: Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides good performance in statistical tasks, such as text classification or sentiment mining.

Authors

  • Aziliz Le Glaz
    URCI Mental Health Department, Brest Medical University Hospital, Brest, France.
  • Yannis Haralambous
    IMT Atlantique, Lab-STICC, UMR CNRS 6285, F-29238, Brest, France.
  • Deok-Hee Kim-Dufor
    URCI Mental Health Department, Brest Medical University Hospital, Brest, France.
  • Philippe Lenca
    IMT Atlantique, Lab-STICC, UMR CNRS 6285, F-29238, Brest, France.
  • Romain Billot
    IMT Atlantique, Lab-STICC, UMR CNRS 6285, F-29238, Brest, France.
  • Taylor C Ryan
    Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
  • Jonathan Marsh
    Fordham University Graduate School of Social Service, New York, NY, United States.
  • Jordan DeVylder
    Fordham University Graduate School of Social Service, New York, NY, United States.
  • Michel Walter
    URCI Mental Health Department, Brest Medical University Hospital, Brest, France.
  • Sofian Berrouiguet
    Department of Psychiatry and Emergency, Brest Medical University Hospital, Brest, France. sofian.berrouiguet@chu-brest.fr.
  • Christophe Lemey
    URCI Mental Health Department, Brest Medical University Hospital, Brest, France.

Keywords

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