myAURA:通过知识图的散散化和可视化来管理的个性化健康图书馆
Rion Brattig Correia1, Jordan C Rozum1, Leonard Cross2
1School of Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY 13902-6000, United States.
Journal of the American Medical Informatics Association : JAMIA
|January 31, 2025
概括
myAURA应用程序将各种数据集成到知识图中,帮助患者自我管理和临床决策. 这种可扩展的方法支持研究和护理.
科学领域:
- 的研究和数字健康应用.
- 生物医学信息学和数据集成.
背景情况:
- 症管理需要整合多样化的患者数据.
- 当前的数据源往往是孤立的,难以访问.
研究的目的:
- 开发以患者为中心的myAURA应用程序,用于的自我管理和护理决策.
- 创建一个可扩展的方法来整合异构的数据资源.
主要方法:
- 从生物医学数据库,社交媒体和电子健康记录中收集了各种与有关的数据.
- 利用以患者为中心的生物医学词典构建了一个多层知识图 (KG).
- 在KG分析和可视化中采用了一种新的网络散散化方法.
主要成果:
- 来自EHR的药物相互作用分析证明了药物相互作用.
- 从社交媒体数据中提取了以为重点的数字队列.
- 介绍了myAURA应用程序以患者为中心的设计和试点测试结果.
结论:
- myAURA中的综合,分散的CG促进了研究和利益相关方的支持.
- 这种可扩展的方法可以实现临床发现和数据驱动的患者自我管理.
- 这种方法可以推广到其他慢性疾病.
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