Accurate long-range forecasting of COVID-19 mortality in the USA

Abstract The need for improved models that can accurately predict COVID-19 dynamics is vital to managing the pandemic and its consequences. We use machine learning techniques to design an adaptive learner that, based on epidemiological data available at any given time, produces a model that accurate...

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Autores principales: Pouria Ramazi, Arezoo Haratian, Maryam Meghdadi, Arash Mari Oriyad, Mark A. Lewis, Zeinab Maleki, Roberto Vega, Hao Wang, David S. Wishart, Russell Greiner
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/ac72519b371340d4aede2c0064a6cd98
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