Machine learning models to detect anxiety and depression through social media: A scoping review.
- DOI
- 10.1016/j.cmpbup.2022.100066
- Published
- 2022-09-09
- Container
- Comput Methods Programs Biomed Update
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpbup.2022.100066,
title = {Machine learning models to detect anxiety and depression through social media: A scoping review.},
author = {Ahmed A and Aziz S and Toro CT and Alzubaidi M and Irshaidat S and Serhan HA and Abd-Alrazaq AA and Househ M.},
year = {2022},
journal = {Comput Methods Programs Biomed Update},
doi = {10.1016/j.cmpbup.2022.100066},
url = {https://doi.org/10.1016/j.cmpbup.2022.100066}
}RIS
TY - JOUR TI - Machine learning models to detect anxiety and depression through social media: A scoping review. AU - Ahmed A AU - Aziz S AU - Toro CT AU - Alzubaidi M AU - Irshaidat S AU - Serhan HA AU - Abd-Alrazaq AA AU - Househ M. PY - 2022 JO - Comput Methods Programs Biomed Update DO - 10.1016/j.cmpbup.2022.100066 UR - https://doi.org/10.1016/j.cmpbup.2022.100066 ER -
APA
A, A., S, A., CT, T., M, A., S, I., HA, S., AA, A., & M., H. (2022). Machine learning models to detect anxiety and depression through social media: A scoping review.. Comput Methods Programs Biomed Update. https://doi.org/10.1016/j.cmpbup.2022.100066
Source records
- europe-pmc · retrieved 2026-09-26T13:25:13.727Z