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Dataset Information

Predicting atrial fibrillation and flutter using BEHRT and identifying multimorbidity patterns using BERTopic.


ABSTRACT:

Introduction

Atrial fibrillation and flutter are heart rhythm disorders frequently associated with multiple other chronic conditions, complicating their management and requiring optimized care. Analyzing pre-atrial fibrillation and flutter comorbidity patterns could enable proactive, preventive, and personalized healthcare.

Methods

This population-based nested case-control study analyzed data from the Korean National Health Insurance Corporation (2002-2019). Adults aged ≥19 years with at least three years of recorded claims were included. Cases were individuals newly diagnosed with atrial fibrillation and flutter between 2007 and 2019 following a washout period (2002-2006). Controls were matched 1:4 using stratified random sampling. Using 5-year disease histories, BEHRT, a t

SUBMITTER: Bae S 

PROVIDER: S-EPMC12917773 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature