Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72229, first published .
Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review

Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review

Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review

Authors of this article:

Rongrong Zhong1 Author Orcid Image ;   XiaoHui Wu1 Author Orcid Image ;   Jun Chen1 Author Orcid Image ;   Yiru Fang2, 3, 4 Author Orcid Image

Journals

  1. Saxena A, Saxena S, Saxena Y, Jain A, Goyal P, Kumar A, Mishra S, Kumar S. Bipolar Disorder in the Era of Precision Psychiatry: Biomarkers, Digital Innovations, and Global Challenges. Journal for Research in Applied Sciences and Biotechnology 2025;4(5):1 View
  2. Diler R, Vahedifard F, Birmaher B, Iyengar S, Wolfe M, Lepore B, Chobany M, Abdul-Waalee H, Malgireddy G, Hart J, Bertocci M. Differentiating Pediatric Bipolar Disorder, Attention-Deficit/Hyperactivity Disorder, and Other Psychopathologies Using Self-Reported Mood and Energy Data and Actigraphy Findings: Correlation and Machine Learning–Based Prediction of Mood Severity. JMIR Mental Health 2025;12:e78163 View
  3. Morelli S, Giansanti D. Recent Advances in AI-Driven Mobile Health Enhancing Healthcare—Narrative Insights into Latest Progress. Bioengineering 2025;13(1):54 View
  4. Simon L, Steubl L, Terhorst Y, Cohrdes C, Pryss R, Baumeister H. Digital Phenotyping – Lessons Learned, Challenges, and Future Perspectives for Psychodiagnostics. Diagnostica 2026;72(1):29 View
  5. Zhong R, Zhang Y, Wu X, Cui L, Lin J, Lv X, Chen J, Chen S, Folarin A, Dobson R, Chen J, Fang Y. Differentiating unipolar and bipolar depression using multi-task eye-movement features. Psychiatry Research 2026;360:117067 View