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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...
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| Pubblicato in: | Comput Biol Med |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier Ltd.
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8164361/ https://ncbi.nlm.nih.gov/pubmed/34091385 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compbiomed.2021.104531 |
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