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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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