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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Digital Biomarkers and Digital Phenotyping (198) Ecological Momentary Assessment (EMA) (321) Psychotic Disorders (162)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15028, first published .
Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach

Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach

Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach

Authors of this article:

Jonas Busk1 Author Orcid Image ;   Maria Faurholt-Jepsen2 Author Orcid Image ;   Mads Frost3 Author Orcid Image ;   Jakob E Bardram4 Author Orcid Image ;   Lars Vedel Kessing2, 5 Author Orcid Image ;   Ole Winther1, 6, 7 Author Orcid Image
Article Authors Cited by (30) Tweetations (5) Metrics

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  17. Birk R, Samuel G. Digital Phenotyping for Mental Health: Reviewing the Challenges of Using Data to Monitor and Predict Mental Health Problems. Current Psychiatry Reports 2022;24(10):523 View
  18. Bufano P, Laurino M, Said S, Tognetti A, Menicucci D. Digital Phenotyping for Monitoring Mental Disorders: Systematic Review. Journal of Medical Internet Research 2023;25:e46778 View
  19. Wu C, Hsu J, Liou C, Su H, Lin E, Chen P. Automatic Bipolar Disorder Assessment Using Machine Learning With Smartphone-Based Digital Phenotyping. IEEE Access 2023;11:121845 View
  20. Bryan A, Heinz M, Salzhauer A, Price G, Tlachac M, Jacobson N. Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment. Biomedical Materials & Devices 2024;2(2):778 View
  21. Luo Y, Deznabi I, Shaw A, Simsiri N, Rahman T, Fiterau M. Dynamic clustering via branched deep learning enhances personalization of stress prediction from mobile sensor data. Scientific Reports 2024;14(1) View
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