Before revision:  The model discriminated between patients who would later recover consciousness and those who would not with an accuracy of around 90\% . Notably, our method could accurately identify the patients who were initially diagnosed as being in a vegetative state/unresponsive wakefulness syndrome but subsequently recovered consciousness. The presented model was also able to identify the prognostic importance of different predictors, including brain functions and clinical characteristics.
After revision:  The model discriminated between patients who would later recover consciousness and those who would not with an accuracy of around 90\% on three datasets from two medical centers. It was also able to identify the prognostic importance of different predictors, including brain functions and clinical characteristics.