Prediction of subjective cognitive decline after corpus callosum infarction by an interpretable machine learning-derived early warning strategy

ConclusionOur study firstly demonstrated that the LR-model with 9 common variables has the best-performance to predict the risk of post-stroke SCD due to CC infarcton. Particularly, the combination of LR-model and SHAP-explainer could aid in achieving personalized risk prediction and be served as a decision-making tool for early intervention since its poor long-term outcome.
Source: Frontiers in Neurology - Category: Neurology Source Type: research