Title
Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop
Author
Corona Hernández, Hugo (University Medical Center Groningen)
Corcoran, Cheryl (Icahn School of Medicine at Mount Sinai)
Achim, Amélie M. (Université Laval)
de Boer, Janna N. (University Medical Center Groningen; University Medical Center Utrecht)
Boerma, Tessel (Universiteit Utrecht)
Brederoo, Sanne G. (University Medical Center Groningen)
Cecchi, Guillermo A. (IBM Thomas J. Watson Research Centre)
Ciampelli, Silvia (University Medical Center Groningen)
Elvevåg, Brita (University of Tromsø)
Fusaroli, Riccardo (Aarhus University; Linguistic Data Consortium)
Giordano, Silvia (University of Applied Sciences of Southern Switzerland)
Hauglid, Mathias (University of Tromsø)
van Hessen, Arjan (Universiteit Utrecht; University of Twente)
Hinzen, Wolfram (Pompeu Fabra University)
Homan, Philipp (University of Zürich)
de Kloet, Sybren F. (Neurocast)
Koops, Sanne (University Medical Center Groningen)
Kuperberg, Gina R. (Tufts University; Harvard Medical School)
Maheshwari, K. (TU Delft Ethics & Philosophy of Technology; University Medical Center Groningen) 
Mota, Natalia B. (Universidade Federal do Rio de Janeiro; Research department at Motrix Lab-Motrix)
Parola, Alberto (Aarhus University)
Rocca, Roberta (Aarhus University)
Sommer, Iris E.C. (University Medical Center Groningen)
Truong, Khiet (University of Twente)
Voppel, Alban E. (University Medical Center Groningen)
van Vugt, Marieke (University Medical Center Groningen)
Wijnen, Frank (Universiteit Utrecht)
Palaniyappan, Lena (Douglas Mental Health University Institute; Robarts Research Institute)
Date
2023
Abstract
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.
Subject
digital markers
implementation
pathophysiology
psychiatric practice
speech technology
To reference this document use:
http://resolver.tudelft.nl/uuid:2efd8ca3-0ec1-4ba0-9199-d7e4681cf28c
DOI
https://doi.org/10.1093/schbul/sbac215
Source
Schizophrenia bulletin, 49 (2), S86-S92
Part of collection
Institutional Repository
Document type
journal article
Rights
© 2023 Hugo Corona Hernández, Cheryl Corcoran, Amélie M. Achim, Janna N. de Boer, Tessel Boerma, Sanne G. Brederoo, Guillermo A. Cecchi, Silvia Ciampelli, Brita Elvevåg, Riccardo Fusaroli, Silvia Giordano, Mathias Hauglid, Arjan van Hessen, Wolfram Hinzen, Philipp Homan, Sybren F. de Kloet, Sanne Koops, Gina R. Kuperberg, K. Maheshwari, Natalia B. Mota, Alberto Parola, Roberta Rocca, Iris E.C. Sommer, Khiet Truong, Alban E. Voppel, Marieke van Vugt, Frank Wijnen, Lena Palaniyappan