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.

翻译：AI和机器学习可以提供强大的工具,帮助打击Covid-19。在这份文件中,我们提出一个研究和一个基于机器学习的具体工具,以预测Covid-19住院病人的预测结果。我们尤其根据一些人口信息、胸X光分数和若干实验室调查结果,处理在医院化的不同时期病人的死亡风险预测任务。我们的机器学习模型利用2000多名病人的数据,使用经过培训和测试的决策树的集合。对这些模型的实验性评估表明,在解决所处理的任务方面表现良好。