Prediction of atrial fibrillation admissions in arrhythmia naïve patients from structured electronic health record data
Sign Up to like & getrecommendations! Published in 2025 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-025-03199-x
Abstract: Atrial fibrillation (AF) is the most prevalent sustained arrhythmia, but its diagnosis is often elusive. In this study, we examined the role of machine learning (ML) algorithms in predicting AF in arrhythmia-naïve patients, based on… read more here.
Keywords: history; electronic health; arrhythmia patients; health ... See more keywords
Arrhythmia in patients with severe coronavirus disease (COVID-19): a meta-analysis.
Sign Up to like & getrecommendations! Published in 2020 at "European review for medical and pharmacological sciences"
DOI: 10.26355/eurrev_202011_23632
Abstract: OBJECTIVE Many studies have reported arrhythmia to be associated with coronavirus disease (COVID-19), but no meta-analysis has explored whether arrhythmia is related to COVID-19 severity. Therefore, the purpose of this study was to evaluate… read more here.
Keywords: arrhythmia; patients severe; arrhythmia patients; covid ... See more keywords