分析医疗保健社交媒体内容的方法:范围审查
Jiaqi Fu1,2, Chaixiu Li1,2, Chunlan Zhou1
1Nanfang Hospital, Southern Medical University, Guangzhou, China.
Journal of medical Internet research
|June 26, 2023
概括
本范围审查分析了从社交媒体中提取健康信息的方法,发现传统的内容分析仍然占主导地位,但未来的研究应该整合大数据和像图像和视频这样的各种来源.
科学领域:
- 医疗信息学 医疗信息学
- 社交媒体分析 社交媒体分析
- 数字健康数字健康
背景情况:
- 社交媒体的快速增长需要有效的医疗保健内容分析.
- 现有的审查通常集中在应用程序上,缺乏分析方法的整合.
研究的目的:
- 确定研究类型和分析社交媒体健康信息的方法.
- 定义用于评估分析方法的指标.
- 探索社交媒体健康数据分析当前的挑战和未来的方向.
主要方法:
- 按照系统性审查和元分析 (PRISMA) 准则的首选报告项目进行了范围审查.
- 从2010年到2023年5月,搜索了主要的数据库 (PubMed,科学网,EMBASE,CINAHL,柯克伦图书馆) 的数据.
- 包括134项研究,将方法分为手动 (内容分析,主题分析) 和计算机辅助 (NLP,主题建模,情绪分析).
主要成果:
- 确定了定性 (50.0%),定量 (32.1%) 和混合方法 (17.9%) 的设计.
- 手动内容分析是主要的方法,而如自然语言处理等计算机辅助技术越来越多地被使用.
- 分析涵盖了卫生实践,服务和教育,利用各种数据来源.
结论:
- 传统的内容分析仍然是社交媒体健康数据的主流方法.
- 未来的研究应该整合大数据,各种来源 (图像,视频,生理信号) 和先进的计算方法.
- 发展专门的医疗信息人才对于有效的网络信息分析至关重要.
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