Distributed lag inspired machine learning for predicting vaccine-induced changes in COVID-19 hospitalization and intensive care unit admission

Distributed lags play important roles in explaining the short-run dynamic and long-run cumulative effects of features on a response variable. Unlike the usual lag length selection, important lags with significant weights are selected in a distributed lag model (DLM). Inspired by the importance of di...

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Detalles Bibliográficos
Autores principales: Khan, Atikur R., Hasan, Khandaker Tabin, Abedin, Sumaiya, Khan, Saleheen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637108/
https://www.ncbi.nlm.nih.gov/pubmed/36335113
http://dx.doi.org/10.1038/s41598-022-21969-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637108/
https://www.ncbi.nlm.nih.gov/pubmed/36335113
http://dx.doi.org/10.1038/s41598-022-21969-9

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