Survival analysis predicts the time it will take for an event to occur based on the occurrence of past events. Survival analysis is challenged by the presence of censored data, events that have not occurred yet but might in the future. In the use case we provide here, we are predicting the survival of Low-Grade Glioma (LGG) patients based on a variety of clinical data and the expression of microRNA.