2004年至2022年心血管疾病数字医学的知识映射:一项文献计量分析
Ying Chen1,2,3,4, Xiang Xiao2,3,4, Qing He1,2
1Beijing University of Chinese Medicine, Beijing, 100029, China.
Heliyon
|February 15, 2024
概括
数字医学正在迅速推进心血管疾病 (CVD) 护理. 研究显示,越来越多的出版物,美国领先,专注于可穿戴设备,机器学习和人工智能用于诊断和管理.
科学领域:
- 数字健康数字健康
- 心血管医学 心血管医学
- 图书统计学 图书统计学
背景情况:
- 数字医学在心血管疾病 (CVD) 研究中越来越受欢迎.
- 了解知识结构和研究趋势对于推进该领域至关重要.
研究的目的:
- 对心血管疾病的数字医学研究进行审查.
- 分析发展,知识结构和研究热点.
- 为未来的研究方向提供见解.
主要方法:
- 从Web of Science (2004-2022) 中对5265篇文章进行了图书统计分析.
- 利用CiteSpace进行关键词分析,并使用VOSviewer进行协作映射.
- 研究了出版趋势,有影响力的作者,机构和期刊.
主要成果:
- 出版物每年稳步增加,以美国为首.
- 哈佛医学院,马萨诸塞总医院和布里格姆和妇女医院是领先的机构.
- 风险识别,诊断和远程管理的可穿戴设备是关键的研究领域.
- 对于心房动 (AF) 和心血管疾病预后的机器学习 (ML) 和神经网络 (NN) 显示出新兴趋势.
结论:
- 对心血管疾病的数字医学研究大幅增加.
- 本文献计量研究提供了对研究领域的全面概述.
- 为数字医学和心血管疾病研究人员提供了宝贵的参考资料.
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