Key Features of Digital Phenotyping for Monitoring Mental Disorders: Systematic Review.
- DOI
- 10.2196/77331
- Published
- 2025 Nov 5
- Container
- Journal of medical Internet research
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.2196/77331,
title = {Key Features of Digital Phenotyping for Monitoring Mental Disorders: Systematic Review.},
author = {Jung HW and Kim DY and Lee I and Kim O and Lee S and Lee S and Chung US and Kim JH and Kim S and Kim JW and Shin AL and Lee JJ},
year = {2025},
journal = {Journal of medical Internet research},
doi = {10.2196/77331},
url = {https://doi.org/10.2196/77331}
}RIS
TY - JOUR TI - Key Features of Digital Phenotyping for Monitoring Mental Disorders: Systematic Review. AU - Jung HW AU - Kim DY AU - Lee I AU - Kim O AU - Lee S AU - Lee S AU - Chung US AU - Kim JH AU - Kim S AU - Kim JW AU - Shin AL AU - Lee JJ PY - 2025 JO - Journal of medical Internet research DO - 10.2196/77331 UR - https://doi.org/10.2196/77331 ER -
APA
HW, J., DY, K., I, L., O, K., S, L., S, L., US, C., JH, K., S, K., JW, K., AL, S., & JJ, L. (2025). Key Features of Digital Phenotyping for Monitoring Mental Disorders: Systematic Review.. Journal of medical Internet research. https://doi.org/10.2196/77331