Machine learning based on clinical characteristics and chest CT quantitative measurements for prediction of adverse clinical outcomes in hospitalized patients with COVID-19
In this study, the authors aimed to develop and validate a machine learning model for the prediction of adverse outcomes in hospitalized patients with COVID-19. They discovered that their findings could be used to facilitate the prediction of adverse outcomes in patients with COVID-19, as well as may allow efficient utilization of medical resources and individualized treatment plans for COVID-19