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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...
Autores principales: | Cobre, Alexandre de Fátima, Stremel, Dile Pontarolo, Noleto, Guilhermina Rodrigues, Fachi, Mariana Millan, Surek, Monica, Wiens, Astrid, Tonin, Fernanda Stumpf, Pontarolo, Roberto |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
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 |
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