Harnessing Context Sensing to Develop a Mobile Intervention for Depression

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This paper describes the development and pilot testing of Mobilyze!, a mobile intervention for major depressive disorder that uses context sensing and ecological momentary interventions. The study evaluated technical feasibility, predictive accuracy of machine learning models based on phone sensors, and patient satisfaction in a small group of eight adults. Results indicated high participant satisfaction and significant self-reported improvements in depressive symptoms, though the predictive capability for mood states was noted as poor.

ID
631e7de872424eae
Source org
OpenAlex
Author
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Published
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OA status
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DOI
10.2196/jmir.1838
PMID
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BibTeX

@article{allodium:631e7de872424eae,
  title = {Harnessing Context Sensing to Develop a Mobile Intervention for Depression},
  journal = {OpenAlex},
  doi = {10.2196/jmir.1838},
  url = {https://doi.org/10.2196/jmir.1838}
}

RIS

TY  - JOUR
TI  - Harnessing Context Sensing to Develop a Mobile Intervention for Depression
PB  - OpenAlex
DO  - 10.2196/jmir.1838
UR  - https://doi.org/10.2196/jmir.1838
ER  -

APA

Harnessing Context Sensing to Develop a Mobile Intervention for Depression. (n.d.). OpenAlex. https://doi.org/10.2196/jmir.1838

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