An exploratory study on predicting depressive symptoms in autistic individuals using wearable devices and machine learning
Digital phenotypes derived from wearable devices may facilitate the detection of depressive symptoms in autistic adults, offering potential benefits for clinical assessments and emotion self-care.
Authors
- Feipei Lai (ORCID: https://orcid.org/0000-0001-7147-8122)
- Ming-Hsien Hsieh
- Yi‐Ling Chien (ORCID: https://orcid.org/0000-0002-3477-3015)
- Chia‐Tung Wu (ORCID: https://orcid.org/0000-0002-5612-8607)
- I‐Ming Chen (ORCID: https://orcid.org/0000-0001-7759-6648)
- Che Lin (ORCID: https://orcid.org/0000-0002-4986-311X)
- Shaoquan Ni (ORCID: https://orcid.org/0000-0002-6283-3636)
- Cailuan Lu
Institutions
- National Taiwan University (TW)
- National Taiwan University Hospital (TW)
Publication Details
- Journal
- Journal of the Formosan Medical Association
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1016/j.jfma.2025.11.026
- Citations
- 1
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 1.54