Risk of atrial fibrillation and association with other diseases: protocol of the derivation and international external validation of a prediction model using nationwide population-based electronic health records.

ABSTRACT:

Introduction

Atrial fibrillation (AF) is a major public health issue and there is rationale for the early diagnosis of AF before the first complication occurs. Previous AF screening research is limited by low yields of new cases and strokes prevented in the screened populations. For AF screening to be clinically and cost-effective, the efficiency of identification of newly diagnosed AF needs to be improved and the intervention offered may have to extend beyond oral anticoagulation for stroke prophylaxis. Previous prediction models for incident AF have been limited by their data sources and methodologies.

Methods and analysis

We will investigate the application of random forest and multivariable logistic regression to predict incident AF within a 6-month prediction horizon, t

SUBMITTER: Nadarajah R 

PROVIDER: S-EPMC10729260 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature