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

Non-randomized Protocols and Methods (ehealth) (567) Digital Biomarkers and Digital Phenotyping (191) Depression and Mood Disorders; Suicide Prevention (1363)

Published on in Vol 9, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18453, first published .
A Combined Digital and Biomarker Diagnostic Aid for Mood Disorders (the Delta Trial): Protocol for an Observational Study

A Combined Digital and Biomarker Diagnostic Aid for Mood Disorders (the Delta Trial): Protocol for an Observational Study

A Combined Digital and Biomarker Diagnostic Aid for Mood Disorders (the Delta Trial): Protocol for an Observational Study

Authors of this article:

Tony Olmert1 Author Orcid Image ;   Jason D Cooper1 Author Orcid Image ;   Sung Yeon Sarah Han1 Author Orcid Image ;   Giles Barton-Owen2 Author Orcid Image ;   Lynn Farrag2 Author Orcid Image ;   Emily Bell2 Author Orcid Image ;   Lauren V Friend2 Author Orcid Image ;   Sureyya Ozcan1 Author Orcid Image ;   Nitin Rustogi1 Author Orcid Image ;   Rhian L Preece1 Author Orcid Image ;   Pawel Eljasz1 Author Orcid Image ;   Jakub Tomasik1 Author Orcid Image ;   Daniel Cowell2 Author Orcid Image ;   Sabine Bahn1 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

Journals

  1. Mirea D, Martin-Key N, Barton-Owen G, Olmert T, Cooper J, Han S, Farrag L, Bell E, Friend L, Eljasz P, Cowell D, Tomasik J, Bahn S. Impact of a Web-Based Psychiatric Assessment on the Mental Health and Well-Being of Individuals Presenting With Depressive Symptoms: Longitudinal Observational Study. JMIR Mental Health 2021;8(2):e23813 View
  2. Martin-Key N, Schei T, Barker E, Spadaro B, Funnell E, Benacek J, Tomasik J, Bahn S. The Current State and Diagnostic Accuracy of Digital Mental Health Assessment Tools for Psychiatric Disorders: Protocol for a Systematic Review and Meta-analysis. JMIR Research Protocols 2021;10(1):e25382 View
  3. Wang D, Hu X, Jiang J, Sun L, Qing Y, Yang X, Gao Y, Cui G, Li M, Wang P, Zhang J, Zhuang Y, Li Z, Li J, Guan L, Zhang T, Wang J, Ji F, Wan C. Attenuated and delayed niacin skin flushing in schizophrenia and affective disorders: A potential clinical auxiliary diagnostic marker. Schizophrenia Research 2021;230:53 View
  4. Martin‐Key N, Olmert T, Barton‐Owen G, Han S, Cooper J, Eljasz P, Farrag L, Friend L, Bell E, Cowell D, Tomasik J, Bahn S. The Delta Study – Prevalence and characteristics of mood disorders in 924 individuals with low mood: Results of the of the World Health Organization Composite International Diagnostic Interview (CIDI). Brain and Behavior 2021;11(6) View
  5. Richardson M, Brown D, Honore D, Labossiere A. Fragmented day-night cycle induces period lengthening, lowered anxiety, and anhedonia in male mice. Behavioural Brain Research 2021;413:113453 View
  6. Taliaz D, Souery D. A New Characterization of Mental Health Disorders Using Digital Behavioral Data: Evidence from Major Depressive Disorder. Journal of Clinical Medicine 2021;10(14):3109 View
  7. Martin-Key N, Mirea D, Olmert T, Cooper J, Han S, Barton-Owen G, Farrag L, Bell E, Eljasz P, Cowell D, Tomasik J, Bahn S. Toward an Extended Definition of Major Depressive Disorder Symptomatology: Digital Assessment and Cross-validation Study. JMIR Formative Research 2021;5(10):e27908 View
  8. Benacek J, Martin-Key N, Barton-Owen G, Metcalfe T, Schei T, Sarah Han S, Olmert T, Cooper J, Eljasz P, Farrag L, Friend L, Bell E, Cowell D, Tomasik J, Bahn S. Personality, symptom, and demographic correlates of perceived efficacy of selective serotonin reuptake inhibitor monotherapy among current users with low mood: A data-driven approach. Journal of Affective Disorders 2021;295:1122 View
  9. Cotes R, Boazak M, Griner E, Jiang Z, Kim B, Bremer W, Seyedi S, Bahrami Rad A, Clifford G. Multimodal Assessment of Schizophrenia and Depression Utilizing Video, Acoustic, Locomotor, Electroencephalographic, and Heart Rate Technology: Protocol for an Observational Study. JMIR Research Protocols 2022;11(7):e36417 View
  10. Funnell E, Spadaro B, Benacek J, Martin-Key N, Metcalfe T, Olmert T, Barton-Owen G, Bahn S. Learnings from user feedback of a novel digital mental health assessment. Frontiers in Psychiatry 2022;13 View
  11. Benacek J, Martin-Key N, Spadaro B, Tomasik J, Bahn S. Using decision-analysis modelling to estimate the economic impact of the identification of unrecognised bipolar disorder in primary care: the untapped potential of screening. International Journal of Bipolar Disorders 2022;10(1) View
  12. Tomasik J, Han S, Barton-Owen G, Mirea D, Martin-Key N, Rustogi N, Lago S, Olmert T, Cooper J, Ozcan S, Eljasz P, Thomas G, Tuytten R, Metcalfe T, Schei T, Farrag L, Friend L, Bell E, Cowell D, Bahn S. A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data. Translational Psychiatry 2021;11(1) View
  13. Tomasik J, Harrison S, Rustogi N, Olmert T, Barton-Owen G, Han S, Cooper J, Eljasz P, Farrag L, Friend L, Bell E, Cowell D, Bahn S. Metabolomic Biomarker Signatures for Bipolar and Unipolar Depression. JAMA Psychiatry 2024;81(1):101 View
  14. Benacek J, Lawal N, Ong T, Tomasik J, Martin-Key N, Funnell E, Barton-Owen G, Olmert T, Cowell D, Bahn S. Identification of Predictors of Mood Disorder Misdiagnosis and Subsequent Help-Seeking Behavior in Individuals With Depressive Symptoms: Gradient-Boosted Tree Machine Learning Approach. JMIR Mental Health 2024;11:e50738 View