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An interpretable time series machine learning method for varying forecast and nowcast lengths in wastewater-based epidemiology
Wastewater-based epidemiology has emerged as a viable tool for monitoring disease prevalence in a population. This paper details a time series machine learning (TSML) method for predicting COVID-19 cases from wastewater and environmental variables. The TSML method utilizes a number of techniques to...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562867/ https://www.ncbi.nlm.nih.gov/pubmed/37822674 http://dx.doi.org/10.1016/j.mex.2023.102382 |