Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records

BACKGROUND: COVID-19 caused more than 622 thousand deaths in Brazil. The infection can be asymptomatic and cause mild symptoms, but it also can evolve into a severe disease and lead to death. It is difficult to predict which patients will develop severe disease. There are, in the literature, machine...

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Detalles Bibliográficos
Autores principales: Rodrigues, Davi Silva, Nastri, Ana Catharina S., Magri, Marcello M., Oliveira, Maura Salaroli de, Sabino, Ester C., Figueiredo, Pedro H. M. F., Levin, Anna S., Freire, Maristela P., Harima, Leila S., Nunes, Fátima L. S., Ferreira, João Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288836/
https://www.ncbi.nlm.nih.gov/pubmed/35843930
http://dx.doi.org/10.1186/s12911-022-01931-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288836/
https://www.ncbi.nlm.nih.gov/pubmed/35843930
http://dx.doi.org/10.1186/s12911-022-01931-5

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