Analyzing and predicting the risk of death in stroke patients using machine learning

ConclusionWe used several highly interpretive machine learning models to predict stroke prognosis with the highest accuracy to date and to identify heterogeneous treatment effects of warfarin and human albumin in stroke patients. Our interpretation of the model yielded a number of findings that are consistent with clinical knowledge and warrant further study and verification.
Source: Frontiers in Neurology - Category: Neurology Source Type: research