Development and web-based implementation of a machine learning model for predicting one-year adverse outcomes in acute ischaemic stroke
Background This study aimed to develop an interpretable and clinically applicable machine learning prediction model to assess the risk of adverse outcomes within one year following acute ischaemic stroke, and to establish a corresponding web-based risk assessment tool. Methods A retrospective cohort study included 585...