Research Progress on Clinical Risk Assessment Models for Newly Diagnosed Atrial Fibrillation
Abstract：Personalized medicine relies on scientific data and good predictive analysis models, and the latter often allows clinical workers to receive alerts before an event occurs, thus making more scientific and wise decisions. Therefore, it is crucial to develop predictive models for diseases that are insidiously onset and have serious consequences. Atrial fibrillation, as the most common arrhythmia in clinical practice, has a high prevalence. However, some populations present with atypical initial symptoms or no obvious clinical symptoms, leading to a high rate of clinical misdiagnosis. Additionally, atrial fibrillation can lead to various complications, such as stroke, heart failure, renal dysfunction, and cognitive impairment, and also increases the mortality rate [1].
Keywords：Atrial fibrillationRisk assessmentRisk factorsPrediction
Publication Date：2025-03-14
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 386-388 )