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Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

DOI

  • Hugo Corona Hernández, University of Groningen
    • ,
  • Cheryl Corcoran, Icahn School of Medicine at Mount Sinai
    • ,
  • Amélie M. Achim, Université Laval
    • ,
  • Janna N. de Boer, University of Groningen, Utrecht University
    • ,
  • Tessel Boerma, Utrecht University
    • ,
  • Sanne G. Brederoo, University of Groningen
    • ,
  • Guillermo A. Cecchi, IBM
    • ,
  • Silvia Ciampelli, University of Groningen
    • ,
  • Brita Elvevåg, UiT The Arctic University of Norway
    • ,
  • Riccardo Fusaroli
  • Silvia Giordano, University of Applied Sciences and Arts of Southern Switzerland
    • ,
  • Mathias Hauglid, UiT The Arctic University of Norway
    • ,
  • Arjan van Hessen, Utrecht University, University of Twente
    • ,
  • Wolfram Hinzen, Pompeu Fabra University
    • ,
  • Philipp Homan, University of Zurich
    • ,
  • Sybren F. de Kloet
    • ,
  • Sanne Koops, University of Groningen
    • ,
  • Gina R. Kuperberg, Tufts University, Harvard University
    • ,
  • Kritika Maheshwari, University of Groningen, Delft University of Technology
    • ,
  • Natalia B. Mota, Universidade Federal do Rio de Janeiro, Research department at Motrix Lab-Motrix
    • ,
  • Alberto Parola
  • Roberta Rocca
  • Iris E.C. Sommer, University of Groningen
    • ,
  • Khiet Truong, University of Twente
    • ,
  • Alban E. Voppel, University of Groningen
    • ,
  • Marieke van Vugt, University of Groningen
    • ,
  • Frank Wijnen, Utrecht University
    • ,
  • Lena Palaniyappan, McGill University, Western University

This workshop summary on natural language processing (NLP) markers for psychosis and other psychiatric disorders presents some of the clinical and research issues that NLP markers might address and some of the activities needed to move in that direction. We propose that the optimal development of NLP markers would occur in the context of research efforts to map out the underlying mechanisms of psychosis and other disorders. In this workshop, we identified some of the challenges to be addressed in developing and implementing NLP markers-based Clinical Decision Support Systems (CDSSs) in psychiatric practice, especially with respect to psychosis. Of note, a CDSS is meant to enhance decision-making by clinicians by providing additional relevant information primarily through software (although CDSSs are not without risks). In psychiatry, a field that relies on subjective clinical ratings that condense rich temporal behavioral information, the inclusion of computational quantitative NLP markers can plausibly lead to operationalized decision models in place of idiosyncratic ones, although ethical issues must always be paramount.

OriginalsprogEngelsk
TidsskriftSchizophrenia Bulletin
Vol/bind49
NummerSupplement 2
Sider (fra-til)S86-S92
Antal sider7
ISSN0586-7614
DOI
StatusUdgivet - mar. 2023

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