Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders
Emerging Themes and Research Agenda From a Cross-Linguistic Workshop
Hugo Corona Hernández (University Medical Center Groningen)
Cheryl Corcoran (Icahn School of Medicine at Mount Sinai)
Amélie M. Achim (Université Laval)
Janna N. de Boer (University Medical Center Groningen, University Medical Centre Utrecht)
Tessel Boerma (Universiteit Utrecht)
Sanne G. Brederoo (University Medical Center Groningen)
Guillermo A. Cecchi (IBM Thomas J. Watson Research Centre)
Silvia Ciampelli (University Medical Center Groningen)
Brita Elvevåg (University of Tromsø)
Riccardo Fusaroli (Aarhus University, Linguistic Data Consortium)
Silvia Giordano (University of Applied Sciences of Southern Switzerland)
Mathias Hauglid (University of Tromsø)
Arjan van Hessen (University of Twente, Universiteit Utrecht)
Wolfram Hinzen (Pompeu Fabra University)
Philipp Homan (Universitat Zurich)
Sybren F. de Kloet (Neurocast)
Sanne Koops (University Medical Center Groningen)
Gina R. Kuperberg (Harvard Medical School, Tufts University)
Kritika Maheshwari (University Medical Center Groningen, TU Delft - Technology, Policy and Management)
Natalia B. Mota (Research department at Motrix Lab-Motrix, Universidade Federal do Rio de Janeiro)
Alberto Parola (Aarhus University)
Roberta Rocca (Aarhus University)
Iris E.C. Sommer (University Medical Center Groningen)
Khiet Truong (University of Twente)
Alban E. Voppel (University Medical Center Groningen)
Marieke van Vugt (University Medical Center Groningen)
Frank Wijnen (Universiteit Utrecht)
Lena Palaniyappan (Douglas Mental Health University Institute, Robarts Research Institute)
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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.