大数据驱动的健康肖像用于非传染性疾病的个性化管理:范围审查
Haoyang Du1,2, Jianing Yu2,3, Dandan Chen1,2
1Sir Run Run Shaw Hospital, Hangzhou, China.
Journal of medical Internet research
|June 5, 2025
概括
大数据健康肖像有助于非传染性疾病 (NCD) 管理,但缺乏标准化. 本次审查强调了需要更好的数据集成,人工智能和个性化健康解决方案的外部验证.
科学领域:
- 医疗信息学 医疗信息学
- 大数据分析大数据分析
- 非传染性疾病管理
背景情况:
- 大数据健康肖像为准确的风险预测和非传染性疾病 (NCD) 的个性化管理提供了洞察力.
- 目前的采用是分散的,因为缺乏标准化框架的健康肖像.
- 需要进行系统审查,以评估大数据通过健康肖像在NCD管理中的作用.
研究的目的:
- 系统地绘制和分类NCD管理的健康肖像研究.
- 用3V框架 (体积,速度,种类) 评估大数据的利用情况.
- 评估外部验证,全面性,并确定未来的研究方向.
主要方法:
- 根据PRISMA-ScR指南进行了范围审查.
- 在多个数据库 (PubMed,Embase,Scopus等) 进行了搜索. 在2014年至2024年期间进行研究.
- 使用关键词分析,3V框架和视觉工具分析数据.
主要成果:
- 分析了89项研究,将健康肖像分为诊断,预后,监测和推类型.
- 只有17.78%的研究符合所有3V标准;推者肖像显示更多地依赖数字数据.
- 在30%的研究中报告了外部验证,只有10%的研究符合3V和外部验证标准.
结论:
- 结果为评估NCD管理中的健康肖像提供了一个框架.
- 强调需要强大的数据集成,支持人工智能的方法和增强的外部验证.
- 解决伦理和隐私问题对于推进个性化健康管理至关重要.
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