  AI and Machine Learning can offer powerful tools to help in the fight against
Covid-19. In this paper we present a study and a concrete tool based on machine
learning to predict the prognosis of hospitalised patients with Covid-19. In
particular we address the task of predicting the risk of death of a patient at
different times of the hospitalisation, on the base of some demographic
information, chest X-ray scores and several laboratory findings. Our machine
learning models use ensembles of decision trees trained and tested using data
from more than 2000 patients. An experimental evaluation of the models shows
good performance in solving the addressed task.
