… In the current study, improved model performance is likely … Our findings, therefore, suggest
that risk model performance may … the gains in predictive performance we observed translate to …

… The CHA2DS2‐VASc decision rule is widely recommended for estimating stroke risk in
patients with atrial fibrillation (AF), although validation studies show ambiguous and conflicting …

… assessed the performance of modelsf (risk scores) for predicting recurrence of atrial fibrillation
(… Atrial fibrillation (AF) is the most common arrhythmia diagnosed in clinical practice, and …

… The optimal time-varying machine learning model exhibited greater predictive performance
than existing AF risk models and reflected known and new patient risk factors for AF. …

… disease) was proposed for the prediction of atrial fibrillation (AF) after cryptogenic stroke. It
… We aimed to assess its performance in an external cohort of patients with embolic stroke of …

… Atrial fibrillation (AF) is a common cardiac arrhythmia … is now possible using validated
predictive models that take into … These models have shown adequate performance in racially and …

… The objective of this study was to compare the predictive performance of bleeding risk–estimation
tools in a cohort of patients with atrial fibrillation (AF) undergoing anticoagulation. …

… Our findings imply that differences in AF risk model performance between studies can
potentially be explained by duration of follow-up, age distribution of the examined cohort, and …

… Many non-invasive atrial fibrillation (AF) complexity … the fibrillation process attained high
prediction performance, outperforming established clinical predictors such as weight and atrial …

… Atrial fibrillation (AF) is one of the most common cardiac … , the ATRIA (Anticoagulation and
Risk Factors in Atrial Fibrillation) … This study compares the predictive ability of the ATRIA risk …