Cargando…
A machine learning analysis of COVID-19 mental health data
In late December 2019, the novel coronavirus (Sars-Cov-2) and the resulting disease COVID-19 were first identified in Wuhan China. The disease slipped through containment measures, with the first known case in the United States being identified on January 20th, 2020. In this paper, we utilize survey...
Autores principales: | Rezapour, Mostafa, Hansen, Lucas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438361/ https://www.ncbi.nlm.nih.gov/pubmed/36056129 http://dx.doi.org/10.1038/s41598-022-19314-1 |
Ejemplares similares
-
Artificial intelligence-based analytics for impacts of COVID-19 and online learning on college students’ mental health
por: Rezapour, Mostafa, et al.
Publicado: (2022) -
Machine learning-based analytics of the impact of the Covid-19 pandemic on alcohol consumption habit changes among United States healthcare workers
por: Rezapour, Mostafa, et al.
Publicado: (2023) -
Author Correction: Machine learning-based analytics of the impact of the Covid-19 pandemic on alcohol consumption habit changes among United States healthcare workers
por: Rezapour, Mostafa, et al.
Publicado: (2023) -
Machine learning with multimodal data for COVID-19
por: Chen, Weijie, et al.
Publicado: (2023) -
Prediction of Mental Health in Medical Workers During COVID-19 Based on Machine Learning
por: Wang, Xiaofeng, et al.
Publicado: (2021)