Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data

BACKGROUND: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) diagnosis currently requires quite a long time span. A quicker and more efficient diagnostic tool in emergency departments could improve management during this global...

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Detalles Bibliográficos
Autores principales: Langer, Thomas, Favarato, Martina, Giudici, Riccardo, Bassi, Gabriele, Garberi, Roberta, Villa, Fabiana, Gay, Hedwige, Zeduri, Anna, Bragagnolo, Sara, Molteni, Alberto, Beretta, Andrea, Corradin, Matteo, Moreno, Mauro, Vismara, Chiara, Perno, Carlo Federico, Buscema, Massimo, Grossi, Enzo, Fumagalli, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705856/
https://www.ncbi.nlm.nih.gov/pubmed/33261629
http://dx.doi.org/10.1186/s13049-020-00808-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705856/
https://www.ncbi.nlm.nih.gov/pubmed/33261629
http://dx.doi.org/10.1186/s13049-020-00808-8

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