Characterising symptom clusters in patients with atrial fibrillation undergoing catheter ablation
Open Heart
AUGUST 4, 2023
Objective This study aims to leverage natural language processing (NLP) and machine learning clustering analyses to (1) identify co-occurring symptoms of patients undergoing catheter ablation for atrial fibrillation (AF) and (2) describe clinical and sociodemographic correlates of symptom clusters. Methods We conducted a cross-sectional retrospective analysis using electronic health records data.
Let's personalize your content