Exploration of Multimorbidity Patterns of Chronic Diseases in Patients with Atrial Fibrillation or Flutter(AFF) Using BEHRT and BERTopic: A Feasibility Study

Drawing from the extensive dataset of the National Health Insurance Corporation (2002–2019), we employed the BEHRT model and BERTopic analysis to predict and understand complex disease trajectories. We identified detailed disease associations using BEHRT optimal architecture with a 6-layer design, achieving notable metrics in predicting Atrial Fibrillation and Flutter (AFF). Our findings underscore the transformative potential of AI in enhancing health informatics and promoting patient-centric care.