Identification of early predictors of clinical outcomes of COVID-19 outbreak in an Italian single center using a machine-learning approach
Description
CONCLUSIONS: Levels of IL-6 and troponin I are associated with poor COVID-19 outcomes. Cut-off values capable of predicting in-hospital mortality and ICU admission have been identified. Building a predictive model using a machine-learning approach
