Artificial intelligence cloud platform improves arrhythmia detection from insertable cardiac monitors to 25 cardiac rhythm patterns through multi-label classification-Reference-Cited by-同舟云学术

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Artificial intelligence cloud platform improves arrhythmia detection from insertable cardiac monitors to 25 cardiac rhythm patterns through multi-label classification

Published:2023-11 Issue: Volume:81 Page:4-12
ISSN:0022-0736
Container-title:Journal of Electrocardiology
language:en
Short-container-title:Journal of Electrocardiology

Author:

Quartieri Fabio,Marina-Breysse Manuel,Toribio-Fernandez Raquel,Lizcano Carlos,Pollastrelli Annalisa,Paini Isabella,Cruz Roberto,Grammatico Andrea,Lillo-Castellano José María

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference42 articles.

1. Cardiovascular Diseases (CVDs) Fact Sheet;The World Health Organization. World Health Organization,2017

2. Overview of the socio-economic consequences of heart failure;Hessel;Cardiovasc Diagn Ther,2021

3. Cardiac arrhythmias: diagnosis, symptoms, and treatments;Fu;Cell Biochem Biophys,2015

Cited by 3 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. The Role of Artificial Intelligence and Machine Learning in Cardiovascular Imaging and Diagnosis;Cureus;2024-09-02

2. Rationale and design of the artificial intelligence scalable solution for acute myocardial infarction (ASSIST) study;Journal of Electrocardiology;2024-09

3. A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms;Heliyon;2024-03

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