COVID-19 如何影响远程保健：对远程保健服务、用户和元数据使用的实证研究

IF 3.2 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Connection Science Pub Date : 2024-02-01 DOI:10.1080/09540091.2023.2282942

Lihong Tang, Tingmin Wu, Xiao Chen, Sheng Wen, Wei Zhou, Xiaogang Zhu, Yang Xiang

引用次数: 0

摘要

自2019年冠状病毒（COVID-19）大流行爆发以来，远程医疗服务被认为是在保证医疗工作者和患者安全的同时管理可用资源的好方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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How COVID-19 impacts telehealth: an empirical study of telehealth services, users and the use of metaverse

Since the outbreak of the coronavirus 2019 (COVID-19) pandemic, telehealth services are regarded as a good approach to keep health workers and patients safe while simultaneously managing available ...

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来源期刊

Connection Science 工程技术-计算机：理论方法

CiteScore

6.50

自引率

39.60%

发文量

审稿时长

3 months

期刊介绍： Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.