Diagnosis and prediction of COVID-19 severity: can biochemical tests and machine learning be used as prognostic indicators?

OBJECTIVE: This study aimed to implement and evaluate machine learning based-models to predict COVID-19’ diagnosis and disease severity. METHODS: COVID-19 test samples (positive or negative results) from patients who attended a single hospital were evaluated. Patients diagnosed with COVID-19 were ca...

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Detalles Bibliográficos
Autores principales: Cobre, Alexandre de Fátima, Stremel, Dile Pontarolo, Noleto, Guilhermina Rodrigues, Fachi, Mariana Millan, Surek, Monica, Wiens, Astrid, Tonin, Fernanda Stumpf, Pontarolo, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164361/
https://www.ncbi.nlm.nih.gov/pubmed/34091385
http://dx.doi.org/10.1016/j.compbiomed.2021.104531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164361/
https://www.ncbi.nlm.nih.gov/pubmed/34091385
http://dx.doi.org/10.1016/j.compbiomed.2021.104531

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