Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods

BACKGROUND: Coronavirus disease (COVID-19) presents an unprecedented threat to global health worldwide. Accurately predicting the mortality risk among the infected individuals is crucial for prioritizing medical care and mitigating the healthcare system’s burden. The present study aimed to assess th...

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Detalles Bibliográficos
Autores principales: Feng, Cindy, Kephart, George, Juarez-Colunga, Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627169/
https://www.ncbi.nlm.nih.gov/pubmed/34837951
http://dx.doi.org/10.1186/s12874-021-01441-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627169/
https://www.ncbi.nlm.nih.gov/pubmed/34837951
http://dx.doi.org/10.1186/s12874-021-01441-4

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