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

Digital Biomarkers and Digital Phenotyping (155) Machine Learning (1189) Depression and Mood Disorders; Suicide Prevention (1169) mHealth for Wellness, Behavior Change and Prevention (2523) Wearable Devices and Sensors (732) Fitness Trackers and Smart Pedometers/Accelerometers (513)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24872, first published .
Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling

Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling

Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling

Authors of this article:

Yuri Rykov 1 Author Orcid Image ;   Thuan-Quoc Thach 2 Author Orcid Image ;   Iva Bojic 3 Author Orcid Image ;   George Christopoulos 4 Author Orcid Image ;   Josip Car 3, 5 Author Orcid Image
Article Authors Cited by (28) Tweetations (7) Metrics

Journals

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  9. Dhinagaran D, Martinengo L, Ho M, Joty S, Kowatsch T, Atun R, Tudor Car L. Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER): Development of a Conceptual Framework. JMIR mHealth and uHealth 2022;10(10):e38740 View
  10. Choi J, Lee S, Kim S, Kim D, Kim H. Depressed Mood Prediction of Elderly People with a Wearable Band. Sensors 2022;22(11):4174 View
  11. Phiri B, Fèvre D, Hidano A. Uptrend in global managed honey bee colonies and production based on a six-decade viewpoint, 1961–2017. Scientific Reports 2022;12(1) View
  12. Maatoug R, Oudin A, Adrien V, Saudreau B, Bonnot O, Millet B, Ferreri F, Mouchabac S, Bourla A. Digital phenotype of mood disorders: A conceptual and critical review. Frontiers in Psychiatry 2022;13 View
  13. Dillenseger A, Weidemann M, Trentzsch K, Inojosa H, Haase R, Schriefer D, Voigt I, Scholz M, Akgün K, Ziemssen T. Digital Biomarkers in Multiple Sclerosis. Brain Sciences 2021;11(11):1519 View
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  16. Takano A, Ono K, Nozawa K, Sato M, Onuki M, Sese J, Yumoto Y, Matsushita S, Matsumoto T. Wearable Sensor and Mobile App–Based mHealth Approach for Investigating Substance Use and Related Factors in Daily Life: Protocol for an Ecological Momentary Assessment Study. JMIR Research Protocols 2023;12:e44275 View
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Books/Policy Documents

  1. Friedrich O, Schleidgen S, Seifert J. Medizin – Technik – Ethik. View