Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47006, first published .
Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study

Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study

Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study

Journals

  1. Burns J, Chen K, Flathers M, Currey D, Macrynikola N, Vaidyam A, Langholm C, Barnett I, Byun A, Lane E, Torous J. Transforming Digital Phenotyping Raw Data Into Actionable Biomarkers, Quality Metrics, and Data Visualizations Using Cortex Software Package: Tutorial. Journal of Medical Internet Research 2024;26:e58502 View
  2. Gardea-Resendez M, Breitinger S, Walker A, Harper L, Xiong A, Stoppel C, Volety R, Raman J, Byun J, Langholm C, Goes F, Zandi P, Torous J, Frye M. Digital Technologies Tracking Active and Passive Data Collection in Depressive Disorders: Lessons Learned From a Case Series. Journal of Psychiatric Practice 2024;30(6):434 View
  3. Fuentes‐Salgado M, Gardea‐Resendez M, Smith A, Lam A, Allen K, Ercis M, Kremin A, Joyce J, Park J, Keeth N, Moore K, Betcher H, Yang P, Leung J, Ozerdem A, Savitz S, Williams M, Montori V, Michael P, Frye M. Developing a Decision Support Tool to Guide Shared Decision‐Making in Bipolar Depression Treatment: Results From a Collaboration Between Clinicians and People With Lived Experience. Bipolar Disorders 2025 View