心肌梗塞的数字健康:研究主题和趋势
Melissa Pelly1, Farhad Fatehi1,2, Mahnaz Samadbeik3
1School of Psychological Sciences, Monash University, Melbourne, Australia.
Studies in health technology and informatics
|January 25, 2024
概括
对心肌梗塞数字健康的研究显示了人工智能和深度学习的新兴趋势. 这项对十年研究的分析为未来的心脏病发作护理,诊断和监测的方向提供了信息.
科学领域:
- 心脏病学 心脏病学
- 数字健康数字健康
- 医疗信息学 医疗信息学
背景情况:
- 数字健康技术在管理慢性疾病,如心肌梗塞等方面变得越来越重要.
- 了解研究趋势对于推进心肌梗塞治疗,诊断和监测至关重要.
- 在过去的十年中,心血管疾病的数字健康应用发生了显著的进化.
研究的目的:
- 绘制过去十年心肌梗塞数字健康研究格局的地图.
- 确定与心肌梗塞相关的数字健康研究中的新兴主题和趋势.
- 为了指导未来的研究和临床实践,心肌梗塞管理.
主要方法:
- 采用了图书统计分析和关键字共发生网络分析.
- 数据来源于科学网络数据库,检索了1344个相关记录.
- 该研究侧重于在十年内可视化研究趋势和主题集群.
主要成果:
- 分析确定了关键的研究领域及其在过去十年中的演变.
- 近年来,新兴主题,特别是人工智能和深度学习,一直很突出.
- 观察到对心肌梗塞的自动化和人工智能驱动的数字健康系统的重视越来越大.
结论:
- 人工智能和深度学习是心肌梗塞数字健康领域的重要新兴趋势.
- 未来的研究和临床实践应该考虑先进,智能数字健康系统的整合.
- 这项研究通过数字健康进步为心肌梗塞治疗的创新提供了路线图.
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