Published on in Vol 6, No 8 (2018): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9691, first published .
Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review

Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review

Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review

Journals

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  27. Busk J, Faurholt-Jepsen M, Frost M, Bardram J, Vedel Kessing L, Winther O. Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach. JMIR mHealth and uHealth 2020;8(4):e15028 View
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  36. Mercier H, Hamner J, Torous J, Onnela J, Taylor J. Digital Phenotyping to Quantify Psychosocial Well-Being Trajectories After Spinal Cord Injury. American Journal of Physical Medicine & Rehabilitation 2020;99(12):1138 View
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  46. Tønning M, Faurholt-Jepsen M, Frost M, Bardram J, Kessing L. Mood and Activity Measured Using Smartphones in Unipolar Depressive Disorder. Frontiers in Psychiatry 2021;12 View
  47. MacLeod L, Suruliraj B, Gall D, Bessenyei K, Hamm S, Romkey I, Bagnell A, Mattheisen M, Muthukumaraswamy V, Orji R, Meier S. A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study. JMIR mHealth and uHealth 2021;9(10):e20638 View
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  55. De La Fabián R, Jiménez-Molina Á, Pizarro Obaid F. A critical analysis of digital phenotyping and the neuro-digital complex in psychiatry. Big Data & Society 2023;10(1):205395172211490 View
  56. Rohani D, Springer A, Hollis V, Bardram J, Whittaker S. Recommending Activities for Mental Health and Well-Being: Insights From Two User Studies. IEEE Transactions on Emerging Topics in Computing 2021;9(3):1183 View
  57. Panicheva P, Mararitsa L, Sorokin S, Koltsova O, Rosso P. Predicting subjective well-being in a high-risk sample of Russian mental health app users. EPJ Data Science 2022;11(1) View
  58. Nunes Vilaza G, Coyle D, Bardram J. Public Attitudes to Digital Health Research Repositories: Cross-sectional International Survey. Journal of Medical Internet Research 2021;23(10):e31294 View
  59. Bisby M, Dear B, Karin E, Fogliati R, Dudeney J, Ryan K, Fararoui A, Nielssen O, Staples L, Kayrouz R, Cross S, Titov N. An open trial of the Things You Do Questionnaire: Changes in daily actions during internet-delivered treatment for depressive and anxiety symptoms. Journal of Affective Disorders 2023;329:483 View
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  64. Cao X, Liu X. Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges. World Journal of Psychiatry 2022;12(10):1287 View
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  67. Girousse E, Vuillerme N. The Use of Passive Smartphone Data to Monitor Anxiety and Depression Among College Students in Real-World Settings: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(12):e38785 View
  68. Niedermann C, Ostermann T. On Gardening, Ice Cream, Mental Health, and Movement. Journal of Integrative and Complementary Medicine 2022;28(5):373 View
  69. Orr M, MacLeod L, Bagnell A, McGrath P, Wozney L, Meier S. The comfort of adolescent patients and their parents with mobile sensing and digital phenotyping. Computers in Human Behavior 2023;140:107603 View
  70. Kamath J, Barriera R, Jain N, Keisari E, Wang B. Digital phenotyping in depression diagnostics: Integrating psychiatric and engineering perspectives. World Journal of Psychiatry 2022;12(3):393 View
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  79. Alfalahi H, Khandoker A, Chowdhury N, Iakovakis D, Dias S, Chaudhuri K, Hadjileontiadis L. Diagnostic accuracy of keystroke dynamics as digital biomarkers for fine motor decline in neuropsychiatric disorders: a systematic review and meta-analysis. Scientific Reports 2022;12(1) View
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  83. Sato S, Hiratsuka T, Hasegawa K, Watanabe K, Obara Y, Kariya N, Shinba T, Matsui T. Screening for Major Depressive Disorder Using a Wearable Ultra-Short-Term HRV Monitor and Signal Quality Indices. Sensors 2023;23(8):3867 View
  84. Kim J, Wang B, Kim M, Lee J, Kim H, Roh D, Lee K, Hong S, Lim J, Kim J, Ryan N. Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study. JMIR Formative Research 2023;7:e45991 View
  85. Buda T, Khwaja M, Garriga R, Matic A, Parackal M. Two edges of the screen: Unpacking positive and negative associations between phone use in everyday contexts and subjective well-being. PLOS ONE 2023;18(4):e0284104 View
  86. Niedermann C, Anheyer D, Seeligmüller E, Ostermann T. Traces of health—A landscape design task as a diagnostic aid for detecting mental burden? A qualitative focus group study. Frontiers in Psychology 2023;14 View
  87. Sun S, Folarin A, Zhang Y, Cummins N, Garcia-Dias R, Stewart C, Ranjan Y, Rashid Z, Conde P, Laiou P, Sankesara H, Matcham F, Leightley D, White K, Oetzmann C, Ivan A, Lamers F, Siddi S, Simblett S, Nica R, Rintala A, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Vairavan S, Narayan V, Annas P, Hotopf M, Dobson R. Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis. Journal of Medical Internet Research 2023;25:e45233 View
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  99. Rottstädt F, Becker E, Wilz G, Croy I, Baumeister H, Terhorst Y. Enhancing the acceptance of smart sensing in psychotherapy patients: findings from a randomized controlled trial. Frontiers in Digital Health 2024;6 View
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Books/Policy Documents

  1. Välimäki M, Hipp K. Advanced Practice in Mental Health Nursing. View
  2. Opoku Asare K, Visuri A, Vega J, Ferreira D. Wireless Mobile Communication and Healthcare. View
  3. Hilty D, Armstrong C, Edwards-Stewart A, Luxton D. Digital Therapeutics for Mental Health and Addiction. View
  4. Terhorst Y, Knauer J, Baumeister H. Digital Phenotyping and Mobile Sensing. View
  5. Harrer M, Terhorst Y, Baumeister H, Ebert D. Digitale Gesundheitsinterventionen. View