Researchers develop a model that predicts the COVID-19 clinical evolution at the hospital admission point
A joint project from the UPC, the UB, the HUB, and IDIBELL studied the probability of suffering severe pneumonia, needing ventilation, or even dying during hospital admission due to COVID-19. As a result of the statistical models created, based on data from more than 5,000 patients admitted to five hospitals in different pandemic waves, they developed a web application for the early identification of potentially high-risk COVID-19 patients and the prediction of the disease course.