Open Access
Issue |
E3S Web Conf.
Volume 500, 2024
The 1st International Conference on Environment, Green Technology, and Digital Society (INTERCONNECTS 2023)
|
|
---|---|---|
Article Number | 03010 | |
Number of page(s) | 7 | |
Section | Engineering and Technology | |
DOI | https://doi.org/10.1051/e3sconf/202450003010 | |
Published online | 11 March 2024 |
- Bone D, Lee C, Chaspari T, Gibson J, Narayanan S. Signal processing and machine learning for mental health research and clinical applications [perspectives]. IEEE Signal Process. Mag 2017;34(5). 196-195. [CrossRef] [Google Scholar]
- Fei Guo, Min Yi, Li Sun, Ting Luo, Ruili Han, Lanlan Zheng, Shengyang Jin, Jun Wang, Mingxing Lei, and Changjun Gao (2021), A novel model to predict mental distress among medical graduate students in China [Google Scholar]
- Kondou, Aya ; Haku, Mari ; Yasui, Toshiyuki. Healthcare; (2021), Development and Psychometric Testing of the Mental Health Scale for Childrearing Fathers [Google Scholar]
- Anasua Kundu, Michael Chaiton, Rebecca Billington, Daniel Grace, Rui Fu, Carmen Logie, Bruce Baskerville, Christina Yager, Nicholas Mitsakakis, Robert Schwartz (2021), Machine Learning Applications in Mental Health and Substance Use Research Among the LGBTQ2S+ Population: Scoping Review [Google Scholar]
- Flanagan, Olivia ; Chan, Amy ; Roop, Partha ; Sundram, Frederick.JMIR. mHealth and uHealth (2021), Using Acoustic Speech Patterns From Smartphones to Investigate Mood Disorders: Scoping Review [Google Scholar]
- Shannon L.Stewart, Ashley Toohey and Jeffrey W. Poss (2021), iCCareD: The Development of an Algorithm to Identify Factors Associated With Distress Among Caregivers of Children and Youth Referred for Mental Health Services [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.