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A comparative study for determining Covid-19 risk levels by unsupervised machine learning methods
The restrictions have been preferred by governments to reduce the spread of Covid-19 and to protect people's health according to regional risk levels. The risk levels of locations are determined due to threshold values based on the number of cases per 100,000 people without environmental vari...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603411/ https://www.ncbi.nlm.nih.gov/pubmed/34815623 http://dx.doi.org/10.1016/j.eswa.2021.116243 |