关于机器学习在检测心房颤动中的有效性的系统性综述。

IF 2.4 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Abdulraheem Lubabat Wuraola, Baraah Al-Dwa, Dmitry Shchekochikhin, Daria Gognieva, Petr Chomakhidze, Natalia Kuznetsova, Philipp Kopylov, Afina A Bestavashvilli
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引用次数: 0

摘要

最近,人们开始探索机器学习(ML)技术,以提高对心脏病变的检测和准确诊断。这是因为人们越来越需要提高诊断效率,加快治疗进程。一些机构已经积极评估了创建算法的可能性,以加深我们对心房颤动(一种常见的持续性心律失常)的了解。这意味着人工智能正被用于分析心电图(ECG)数据。这些数据通常从大型患者数据库中提取,然后在神经网络的帮助下用于训练和测试算法。机器学习已被用于有效检测心房颤动,其准确性高于临床专家,如果将其应用于临床实践,将有助于早期诊断和管理心房颤动,从而减少该疾病的血栓栓塞并发症。本文综述了机器学习在分析和检测心房颤动中的应用、结果比较(灵敏度、特异性和准确性)以及所开展研究的框架和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Systematic Review on the Effectiveness of Machine Learning in the Detection of Atrial Fibrillation.

Recent endeavors have led to the exploration of Machine Learning (ML) to enhance the detection and accurate diagnosis of heart pathologies. This is due to the growing need to improve efficiency in diagnostics and hasten the process of delivering treatment. Several institutions have actively assessed the possibility of creating algorithms for advancing our understanding of atrial fibrillation (AF), a common form of sustained arrhythmia. This means that artificial intelligence is now being used to analyze electrocardiogram (ECG) data. The data is typically extracted from large patient databases and then subsequently used to train and test the algorithm with the help of neural networks. Machine learning has been used to effectively detect atrial fibrillation with more accuracy than clinical experts, and if applied to clinical practice, it will aid in early diagnosis and management of the condition and thus reduce thromboembolic complications of the disease. In this text, a review of the application of machine learning in the analysis and detection of atrial fibrillation, a comparison of the outcomes (sensitivity, specificity, and accuracy), and the framework and methods of the studies conducted have been presented.

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来源期刊
Current Cardiology Reviews
Current Cardiology Reviews CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
3.70
自引率
10.50%
发文量
117
期刊介绍: Current Cardiology Reviews publishes frontier reviews of high quality on all the latest advances on the practical and clinical approach to the diagnosis and treatment of cardiovascular disease. All relevant areas are covered by the journal including arrhythmia, congestive heart failure, cardiomyopathy, congenital heart disease, drugs, methodology, pacing, and preventive cardiology. The journal is essential reading for all researchers and clinicians in cardiology.
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