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.

Thomas LangerMartina FavaratoRiccardo GiudiciGabriele BassiRoberta GarberiFabiana VillaHedwige GayAnna ZeduriSara BragagnoloAlberto MolteniAndrea BerettaMatteo CorradinMauro MorenoChiara VismaraCarlo Federico PernoMassimo BuscemaEnzo GrossiRoberto Fumagalli

Published in: Scandinavian journal of trauma, resuscitation and emergency medicine (2020)

Our study suggests that properly trained artificial intelligence algorithms may be able to predict correct results in RT-PCR for SARS-COV-2, using basic clinical data. If confirmed, on a larger-scale study, this approach could have important clinical and organizational implications.

Keyphrases

sars cov
machine learning
respiratory syndrome coronavirus
artificial intelligence
big data
deep learning
electronic health record
depressive symptoms
body composition
physical activity