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Tracking machine learning models for pandemic scenarios: a systematic review of machine learning models that predict local and global evolution of pandemics
This systematic review aims to study and classify machine learning models that predict pandemics’ evolution within affected regions or countries. The advantage of this systematic review is that it allows the health authorities to decide what prediction model fits best depending upon the region’s cri...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Vienna
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553296/ https://www.ncbi.nlm.nih.gov/pubmed/36249862 http://dx.doi.org/10.1007/s13721-022-00384-0 |