Prediction of atrial fibrillation and stroke using machine learning models in UK Biobank-Reference-Cited by-同舟云学术

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Prediction of atrial fibrillation and stroke using machine learning models in UK Biobank

Published:2024-04 Issue:7 Volume:10 Page:e28034
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Papadopoulou Areti,Harding Daniel,Slabaugh Greg,Marouli Eirini,Deloukas Panos^ORCID

Publisher

Elsevier BV

Reference49 articles.

1. Heart disease and stroke statistics-2019 update: a report from the American Heart Association;Benjamin;Circulation,2019

2. Performance of atrial fibrillation risk prediction models in over 4 million individuals;Khurshid;Circ. Arrhythm Electrophysiol.,2021

3. Deep neural networks can predict new-onset atrial fibrillation from the 12-lead ECG and help identify those at risk of atrial fibrillation-related stroke;Raghunath;Circulation,2021

4. Machine learning models for predicting influential factors of early outcomes in acute ischemic stroke: registry-based study;Su;JMIR. Med. Inform.,2022

5. Predicting ischemic stroke in patients with atrial fibrillation using machine learning;Jung;Front. Biosci.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI-based derivation of atrial fibrillation phenotypes in the general and critical care populations;eBioMedicine;2024-09

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