Smartwatch digital phenotypes predict positive and negative symptom variation in a longitudinal monitoring study of patients with psychotic disorders

Bibliographic Data

ID15517525
AuthorsEmmanouil Kalisperakis (Eginition Hospital), Thomas Karantinos (0009-0001-1060-1059, University Mental Health Research Institute), Marina Lazaridi (University Mental Health Research Institute), Vasiliki Garyfalli (Eginition Hospital), Panagiotis P Filntisis (0000-0002-2042-245X, National Technical University of Athens), Athanasia Zlatintsi (0000-0002-1922-9310, National Technical University of Athens), Niki Efthymiou (0000-0002-3911-561X, National Technical University of Athens), Asimakis Mantas (University Mental Health Research Institute), Leonidas Mantonakis (National and Kapodistrian University of Athens), Theodoros Mougiakos (401 General Military Hospital of Athens), Ilias Maglogiannis (0000-0003-2860-399X, University of Piraeus), Panayotis Tsanakas (National Technical University of Athens), Petros Maragos (0000-0003-0534-2707, National Technical University of Athens), Nikolaos Smyrnis (0000-0002-1461-6151, National and Kapodistrian University of Athens, corresponding author)
Year2023
Volume14
Pages1024965-1024965
Publication date2023-03-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2023.1024965
PMID36993926
OpenAlexW4324077762
LanguageEN
Citations received1
References cited31

Our findings suggest that distinct digital phenotypes derived passively from a smartwatch can predict variations in positive and negative dimensions of psychopathology of patients with psychotic disorders, over time, providing ground evidence for their potential clinical use

Biology · Phenotype · Psychiatry · Schizophrenia (object-oriented programming · Smartwatch · Variation (astronomy · Wearable computer · Clinical Psychology · Computer Science · Digital Mental Health Interventions · Medicine · Mental Health Research Topics · Psychology · Schizophrenia research and treatment · Genetics

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