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

Digital Health Reviews (1318) Mobile Health (mhealth) (2974) New Methods (959) Reviews in Digital Mental Health (247) Wearable Devices and Sensors (900) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1552) Telepsychiatry (162) Methods and New Tools in Mental Health Research (461) Mobile Health in Psychiatry (435) mHealth for Data Collection and Research (974)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46778, first published .
Digital Phenotyping for Monitoring Mental Disorders: Systematic Review

Digital Phenotyping for Monitoring Mental Disorders: Systematic Review

Digital Phenotyping for Monitoring Mental Disorders: Systematic Review

Authors of this article:

Pasquale Bufano1 Author Orcid Image ;   Marco Laurino1 Author Orcid Image ;   Sara Said2 Author Orcid Image ;   Alessandro Tognetti3 Author Orcid Image ;   Danilo Menicucci2 Author Orcid Image
Article Authors Cited by (20) Tweetations (7) Metrics

Journals

  1. Menicucci D, Bastiani L, Malloggi E, Denoth F, Gemignani A, Molinaro S. Impaired Well-Being and Insomnia as Residuals of Resolved Medical Conditions: Survey in the Italian Population. International Journal of Environmental Research and Public Health 2024;21(2):129 View
  2. Dominiak M, Gędek A, Antosik A, Mierzejewski P. Mobile health for mental health support: a survey of attitudes and concerns among mental health professionals in Poland over the period 2020-2023. Frontiers in Psychiatry 2024;15 View
  3. Choo M, Park D, Cho M, Bae S, Kim J, Han D. Exploring a multimodal approach for utilizing digital biomarkers for childhood mental health screening. Frontiers in Psychiatry 2024;15 View
  4. Zanoletti M, Bufano P, Bossi F, Di Rienzo F, Marinai C, Rho G, Vallati C, Carbonaro N, Greco A, Laurino M, Tognetti A. Combining Different Wearable Devices to Assess Gait Speed in Real-World Settings. Sensors 2024;24(10):3205 View
  5. O’Leary A, Lahey T, Lovato J, Loftness B, Douglas A, Skelton J, Cohen J, Copeland W, McGinnis R, McGinnis E. Using Wearable Digital Devices to Screen Children for Mental Health Conditions: Ethical Promises and Challenges. Sensors 2024;24(10):3214 View
  6. Kandola A, Edwards K, Muller M, Dührkoop B, Hein B, Straatman J, Hayes J. Digitally managing depression: A fully remote randomised attention-placebo controlled trial. DIGITAL HEALTH 2024;10 View
  7. Paolillo E, Casaletto K, Clark A, Taylor J, Heuer H, Wise A, Dhanam S, Sanderson-Cimino M, Saloner R, Kramer J, Kornak J, Kremers W, Forsberg L, Appleby B, Bayram E, Bozoki A, Brushaber D, Darby R, Day G, Dickerson B, Domoto-Reilly K, Elahi F, Fields J, Ghoshal N, Graff-Radford N, G H Hall M, Honig L, Huey E, Lapid M, Litvan I, Mackenzie I, Masdeu J, Mendez M, Mester C, Miyagawa T, Naasan G, Pascual B, Pressman P, Ramos E, Rankin K, Rexach J, Rojas J, VandeVrede L, Wong B, Wszolek Z, Boeve B, Rosen H, Boxer A, Staffaroni A. Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study. JMIR Aging 2024;7:e52831 View
  8. Valeri L, Cai X, Rahimi Eichi H, Liebenthal E, Rauch S, Ongur D, Schutt R, Dixon L, Onnela J, Baker J. Smartphone-based markers of social connectivity in schizophrenia and bipolar disorder. NPP—Digital Psychiatry and Neuroscience 2024;2(1) View
  9. Allen K, Rodriguez S, Hayani L, Rothenberger S, Moses-Kolko E, Simhan H, Krishnamurti T. Digital phenotyping of depression during pregnancy using self-report data. Journal of Affective Disorders 2024;364:231 View
  10. Paulino D, Netto A, Brito W, Paredes H. WebTraceSense—A Framework for the Visualization of User Log Interactions. Eng 2024;5(3):2206 View
  11. Cormier M, Orr M, Kaser A, MacDonald H, Chorney J, Meier S. Sleep well, worry less: A co-design study for the development of the SMILE app. DIGITAL HEALTH 2024;10 View
  12. Jilka S, Giacco D. Digital phenotyping: how it could change mental health care and why we should all keep up. Journal of Mental Health 2024;33(4):439 View
  13. Hong M, Kang R, Yang J, Rhee S, Lee H, Kim Y, Lee K, Kim H, Lee Y, Youn T, Kim S, Ahn Y. Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study. Journal of Medical Internet Research 2024;26:e65994 View
  14. Paraschiv E, Băjenaru L, Petrache C, Bica O, Nicolau D. AI-Driven Neuro-Monitoring: Advancing Schizophrenia Detection and Management Through Deep Learning and EEG Analysis. Future Internet 2024;16(11):424 View
  15. Machleid F, Jansky B, Wild V, Wiegmann C, Kaminski J, Schreiter S. Mobile Gesundheitstechnologien für eine gerechte Versorgung bei psychischen Erkrankungen. Nervenheilkunde 2024;43(12):688 View
  16. Ikäheimonen A, Luong N, Baryshnikov I, Darst R, Heikkilä R, Holmen J, Martikkala A, Riihimäki K, Saleva O, Isometsä E, Aledavood T. Predicting and Monitoring Symptoms in Patients Diagnosed With Depression Using Smartphone Data: Observational Study. Journal of Medical Internet Research 2024;26:e56874 View
  17. Sidani L, Nadar S, Tfaili J, El Rayes S, Sharara F, Elhage J, Fakhoury M. Digital Psychiatry: Opportunities, Challenges, and Future Directions. Journal of Psychiatric Practice 2024;30(6):400 View

Books/Policy Documents

  1. Lalumera E. Epistemic Justice in Mental Healthcare. View