Exploring mortality representation and the impact of COVID-19 in Modena: insights from “An ECG-based machine-learning approach for mortality risk assessment in a large European population”

IF 1.3 4区医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS

Journal of electrocardiology Pub Date : 2025-02-10 DOI:10.1016/j.jelectrocard.2025.153890

P. Giovanardi , C. Vernia , M. Doneda , on behalf of the whole research team

引用次数: 0

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探索死亡率表征和COVID-19在摩德纳的影响：来自“基于脑电图的机器学习方法用于大量欧洲人群的死亡率风险评估”的见解

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of electrocardiology 医学-心血管系统

CiteScore

2.70

自引率

7.70%

发文量

152

审稿时长

38 days

期刊介绍： The Journal of Electrocardiology is devoted exclusively to clinical and experimental studies of the electrical activities of the heart. It seeks to contribute significantly to the accuracy of diagnosis and prognosis and the effective treatment, prevention, or delay of heart disease. Editorial contents include electrocardiography, vectorcardiography, arrhythmias, membrane action potential, cardiac pacing, monitoring defibrillation, instrumentation, drug effects, and computer applications.