Machine learning predicts the risk of hemorrhagic transformation of acute cerebral infarction and in-hospital death

Abstract

The model HT-Lab10 built using the XgBoost algorithm showed excellent predictive ability in both the occurrence of HT and the risk of HT death, achieving a model with multiple uses.