Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2

• Published in: Scandinavian journal of trauma, resuscitation and emergency medicine Vol. 28; no. 1
• Main Authors: Favarato, Martina, Beretta, Andrea, Molteni, Alberto, Fumagalli, Roberto, Perno, Carlo Federico, Bragagnolo, Sara, Grossi, Enzo, Langer, Thomas, Bassi, Gabriele, Zeduri, Anna, Moreno, Mauro, Vismara, Chiara, Gay, Hedwige, Buscema, Massimo, Giudici, Riccardo, Corradin, Matteo, Garberi, Roberta, Villa, Fabiana
• Format: Journal Article
• Language: English
• Published: BioMed Central Ltd 01.12.2020
• Subjects: Artificial intelligence; Machine learning; Polymerase chain reaction; Italy

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...