Published on in Vol 7, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16237, first published .
An Automated Mobile Mood Tracking Technology (Mood 24/7): Validation Study

An Automated Mobile Mood Tracking Technology (Mood 24/7): Validation Study

An Automated Mobile Mood Tracking Technology (Mood 24/7): Validation Study

Journals

  1. Sagorac Gruichich T, David Gomez J, Zayas‐Cabán G, McInnis M, Cochran A. A digital self‐report survey of mood for bipolar disorder. Bipolar Disorders 2021;23(8):810 View
  2. Denecke K, Gabarron E, Petersen C, Merolli M. Defining participatory health informatics – a scoping review. Informatics for Health and Social Care 2021;46(3):234 View
  3. Schueller S, Neary M, Lai J, Epstein D. Understanding People’s Use of and Perspectives on Mood-Tracking Apps: Interview Study. JMIR Mental Health 2021;8(8):e29368 View
  4. Kraft R, Reichert M, Pryss R. Mobile Crowdsensing in Ecological Momentary Assessment mHealth Studies: A Systematic Review and Analysis. Sensors 2024;24(2):472 View
  5. Arévalo Avalos M, Xu J, Figueroa C, Haro-Ramos A, Chakraborty B, Aguilera A, Ayatollahi H. The effect of cognitive behavioral therapy text messages on mood: A micro-randomized trial. PLOS Digital Health 2024;3(2):e0000449 View
  6. Henderson K, Reihm J, Koshal K, Wijangco J, Sara N, Miller N, Doyle M, Mallory A, Sheridan J, Guo C, Oommen L, Rankin K, Sanders S, Feinstein A, Mangurian C, Bove R. A Closed-Loop Digital Health Tool to Improve Depression Care in Multiple Sclerosis: Iterative Design and Cross-Sectional Pilot Randomized Controlled Trial and its Impact on Depression Care. JMIR Formative Research 2024;8:e52809 View