Development of a machine learning model to predict risk of development of COVID-19-associated mucormycosis
Description
Aim: The study aimed to identify quantitative parameters that increase the risk of rhino-orbito-cerebral mucormycosis, and subsequently developed a machine learning model that can anticipate susceptibility to developing this condition. Methods