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 ...
Nature

Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation

Atrial fibrillation (AF) is the most common sustained arrhythmia and a leading cause of ischemic stroke. Existing risk scores, such as CHA₂DS₂-VASc, offer limited predictive accuracy and fail to ...