Stress prediction using micro-EMA and machine learning during COVID-19 social isolation

Accurately predicting users’ perceived stress is beneficial to aid early intervention and prevent both mental illness and physical disease during the COVID-19 pandemic. However, the existing perceived stress predicting system needs to collect a large amount of previous data for training but has a li...

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Detalles Bibliográficos
Autores principales: Li, Huining, Zheng, Enhao, Zhong, Zijian, Xu, Chenhan, Roma, Nicole, Lamkin, Steven, Von Visger, Tania T., Chang, Yu-Ping, Xu, Wenyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Inc. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664417/
https://www.ncbi.nlm.nih.gov/pubmed/34926779
http://dx.doi.org/10.1016/j.smhl.2021.100242

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664417/
https://www.ncbi.nlm.nih.gov/pubmed/34926779
http://dx.doi.org/10.1016/j.smhl.2021.100242

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