Development and validation of a prediction model for 30-day mortality in hospitalised patients with COVID-19: the COVID-19 SEIMC score.

Juan BerenguerAlberto M BorobiaPablo RyanJesús Rodríguez-BañoJose M BellónInmaculada JarrínJordi CarratalàJerónimo PachónAntonio J CarcasMaría YllescasJosé R Arribasnull null

Published in: Thorax (2021)

A simple prediction score, based on readily available clinical and laboratory data, provides a useful tool to predict 30-day mortality probability with a high degree of accuracy among hospitalised patients with COVID-19.

Keyphrases

cardiovascular events
coronavirus disease
sars cov
risk factors
electronic health record
community acquired pneumonia
coronary artery disease
machine learning
deep learning