Cargando…
Authors’ Reply to: Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on “Machine Learning for Mental Health in Social Media: Bibliometric Study”
Autores principales: | Kim, Jina, Lee, Daeun, Park, Eunil |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277311/ https://www.ncbi.nlm.nih.gov/pubmed/34137721 http://dx.doi.org/10.2196/29549 |
Ejemplares similares
-
Machine Learning for Mental Health in Social Media: Bibliometric Study
por: Kim, Jina, et al.
Publicado: (2021) -
Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on “Machine Learning for Mental Health in Social Media: Bibliometric Study”
por: Resnik, Philip, et al.
Publicado: (2021) -
Medical and Health-Related Misinformation on Social Media: Bibliometric Study of the Scientific Literature
por: Yeung, Andy Wai Kan, et al.
Publicado: (2022) -
A deep learning model for detecting mental illness from user content on social media
por: Kim, Jina, et al.
Publicado: (2020) -
Research trends in social media addiction and problematic social media use: A bibliometric analysis
por: Pellegrino, Alfonso, et al.
Publicado: (2022)