Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Digital Phenotyping for Differential Diagnosis of Major Depressive Episode: Narrative Review ; Phénotypage numérique pour le diagnostic différentiel de l'épisode dépressif majeur : Revue narrative

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • معلومة اضافية
    • Contributors:
      Hôpital Pasteur Nice (CHU); Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI); Saarland University Medical Center; Carl Von Ossietzky Universität Oldenburg = Carl von Ossietzky University of Oldenburg (OFFIS); Analyse et Traitement Informatique de la Langue Française (ATILF); Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS); Semantic Analysis of Natural Language (SEMAGRAMME); Inria Nancy - Grand Est; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD); Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA); Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA); Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS); Cognition Behaviour Technology (CobTek); Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre Hospitalier Universitaire de Nice (CHU Nice)-Institut Claude Pompidou Nice (ICP - Nice)-Université Côte d'Azur (UniCA); Spatio-Temporal Activity Recognition Systems (STARS); Inria Sophia Antipolis - Méditerranée (CRISAM); Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria); "Innovation Alzheimer" Association; European Project: 01IS20075,MePheSTO
    • بيانات النشر:
      HAL CCSD
      JMIR Publications
    • الموضوع:
      2023
    • Collection:
      Université de Lorraine: HAL
    • نبذة مختصرة :
      International audience ; Background Major depressive episode (MDE) is a common clinical syndrome. It can be found in different pathologies such as major depressive disorder (MDD), bipolar disorder (BD), posttraumatic stress disorder (PTSD), or even occur in the context of psychological trauma. However, only 1 syndrome is described in international classifications (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition [DSM-5]/International Classification of Diseases 11th Revision [ICD-11]), which do not take into account the underlying pathology at the origin of the MDE. Clinical interviews are currently the best source of information to obtain the etiological diagnosis of MDE. Nevertheless, it does not allow an early diagnosis and there are no objective measures of extracted clinical information. To remedy this, the use of digital tools and their correlation with clinical symptomatology could be useful. Objective We aimed to review the current application of digital tools for MDE diagnosis while highlighting shortcomings for further research. In addition, our work was focused on digital devices easy to use during clinical interview and mental health issues where depression is common. Methods We conducted a narrative review of the use of digital tools during clinical interviews for MDE by searching papers published in PubMed/MEDLINE, Web of Science, and Google Scholar databases since February 2010. The search was conducted from June to September 2021. Potentially relevant papers were then compared against a checklist for relevance and reviewed independently for inclusion, with focus on 4 allocated topics of (1) automated voice analysis, behavior analysis by (2) video and physiological measures, (3) heart rate variability (HRV), and (4) electrodermal activity (EDA). For this purpose, we were interested in 4 frequently found clinical conditions in which MDE can occur: (1) MDD, (2) BD, (3) PTSD, and (4) psychological trauma. Results A total of 74 relevant papers on the subject were qualitatively ...
    • Relation:
      info:eu-repo/grantAgreement//01IS20075/EU/Digital Phenotyping for Psychiatric Disorders from Social Interaction/MePheSTO; hal-04402917; https://hal.science/hal-04402917; https://hal.science/hal-04402917/document; https://hal.science/hal-04402917/file/PDF.pdf
    • الرقم المعرف:
      10.2196/37225
    • Rights:
      http://hal.archives-ouvertes.fr/licences/copyright/ ; info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.571260AB