This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (2748) Depression and Mood Disorders; Suicide Prevention (1273) Bipolar Disorders (55) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (783) Mobile Health in Psychiatry (399) Diagnostic Tools in Mental Health (220) Methods and New Tools in Mental Health Research (424)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28647, first published .
Behavioral and Self-reported Data Collected From Smartphones for the Assessment of Depressive and Manic Symptoms in Patients With Bipolar Disorder: Prospective Observational Study

Behavioral and Self-reported Data Collected From Smartphones for the Assessment of Depressive and Manic Symptoms in Patients With Bipolar Disorder: Prospective Observational Study

Behavioral and Self-reported Data Collected From Smartphones for the Assessment of Depressive and Manic Symptoms in Patients With Bipolar Disorder: Prospective Observational Study

Authors of this article:

Monika Dominiak1, 2 Author Orcid Image ;   Katarzyna Kaczmarek-Majer3 Author Orcid Image ;   Anna Z Antosik-Wójcińska2, 4 Author Orcid Image ;   Karol R Opara3 Author Orcid Image ;   Anna Olwert3 Author Orcid Image ;   Weronika Radziszewska3 Author Orcid Image ;   Olgierd Hryniewicz3 Author Orcid Image ;   Łukasz Święcicki5 Author Orcid Image ;   Marcin Wojnar4 Author Orcid Image ;   Paweł Mierzejewski1, 2 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

Journals

  1. Pollock Star A, Bachner Y, Cohen B, Haglili O, O'Rourke N. Social Media Use and Well-being With Bipolar Disorder During the COVID-19 Pandemic: Path Analysis. JMIR Formative Research 2022;6(8):e39519 View
  2. Kaczmarek-Majer K, Casalino G, Castellano G, Dominiak M, Hryniewicz O, Kamińska O, Vessio G, Díaz-Rodríguez N. PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries. Information Sciences 2022;614:374 View
  3. Kark S, Worthington M, Christie R, Masino A. Opportunities for digital health technology: identifying unmet needs for bipolar misdiagnosis and depression care management. Frontiers in Digital Health 2023;5 View
  4. Dominiak M, Gędek A, Antosik A, Mierzejewski P. Mobile health for mental health support: a survey of attitudes and concerns among mental health professionals in Poland over the period 2020-2023. Frontiers in Psychiatry 2024;15 View
  5. Halabi R, Mulsant B, Alda M, DeShaw A, Hintze A, Husain M, O'Donovan C, Patterson R, Ortiz A. Not missing at random: Missing data are associated with clinical status and trajectories in an electronic monitoring longitudinal study of bipolar disorder. Journal of Psychiatric Research 2024;174:326 View

Books/Policy Documents

  1. Sooradas S, Vatsa A, Negi A, Singh H, Mantri A, Khedkar S, Varshney R. Community Mental Health and Well-Being in the New Normal. View
  2. Kmita K, Kaczmarek-Majer K, Hryniewicz O. Fuzzy Logic and Technology, and Aggregation Operators. View