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

Mobile Health (mhealth) (2972) Depression and Mood Disorders; Suicide Prevention (1384) Bipolar Disorders (58) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (842) Mobile Health in Psychiatry (435) Diagnostic Tools in Mental Health (246) Methods and New Tools in Mental Health Research (461)

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 (11) 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
  6. Kaczmarek‐Majer K, Dominiak M, Antosik A, Hryniewicz O, Kamińska O, Opara K, Owsiński J, Radziszewska W, Sochacka M, Święcicki Ł. Acoustic features from speech as markers of depressive and manic symptoms in bipolar disorder: A prospective study. Acta Psychiatrica Scandinavica 2024 View
  7. Zolfagharnasab M, Damari S, Soltani M, Ng A, Karbalaeipour H, Haghdadi A, Saghayan M, Matinfar F. A Novel Rule-based Expert System for Early Diagnosis of Bipolar and Major Depressive Disorder. Smart Health 2024:100525 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