Nature

Machine learning-based prediction of 90-day prognosis and in-hospital mortality in hemorrhagic stroke patients

This study aims to predict hemorrhagic stroke outcomes, including 90-day prognosis and in-hospital mortality, using machine learning models and SHapley Additive exPlanations (SHAP) analysis. Data were ...
Nature

An interpretable machine learning model for predicting stroke in patients with hypertension: insights from the SPRINT

Stroke is a leading cause of mortality worldwide, with hypertension being its most significant risk factor. However, few studies have specifically developed predictive models for stroke risk in ...