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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier Inc.
2022
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| Materias: | |
| 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 |