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External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count

PURPOSE: The rRT-PCR for COVID-19 diagnosis is affected by long turnaround time, potential shortage of reagents, high false-negative rates and high costs. Routine hematochemical tests are a faster and less expensive alternative for diagnosis. Thus, Machine Learning (ML) has been applied to hematolog...

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Detalles Bibliográficos
Autores principales: Campagner, Andrea, Carobene, Anna, Cabitza, Federico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540880/
https://www.ncbi.nlm.nih.gov/pubmed/34721844
http://dx.doi.org/10.1007/s13755-021-00167-3