Using Wearable Device and Machine Learning to Predict Mood Symptoms in Bipolar Disorder: Development and Usability Study
This study demonstrated that digital biomarkers could be used to predict depressive and manic symptoms. This prediction model may be beneficial for the early detection of mood symptoms, facilitating timely treatment and helping to prevent BD recurrence.
Authors
- Ssu-Ming Wang (ORCID: https://orcid.org/0000-0003-4359-1683)
- Yi‐Ling Chien (ORCID: https://orcid.org/0000-0002-3477-3015)
- Chia‐Tung Wu (ORCID: https://orcid.org/0000-0002-5612-8607)
- Ding-Shan Liu (ORCID: https://orcid.org/0000-0001-7838-8963)
- Ming H. Hsieh (ORCID: https://orcid.org/0000-0002-3585-7843)
- I‐Ming Chen (ORCID: https://orcid.org/0000-0001-7759-6648)
- Lian-Yin Jhao
- Chia-Ting Wu
Institutions
- National Yang Ming Chiao Tung University (TW)
- National Taiwan University (TW)
- National Taiwan University Hospital (TW)
- New Technology (Israel) (IL)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-02-18
- DOI
- https://doi.org/10.2196/66277
- Citations
- 6
- Primary Topic
- Bipolar Disorder and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 8.83