开发全面的高血压本体学:解决数据整合差距,以改善医疗保健结果
Fariya Sultana Prity1, Mohammad Mahmudul Hasan1, Nafiz Fahad2
1Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh.
Health informatics journal
|May 26, 2025
概括
开发了一个新的高血压本体学 (HPO),以加强高血压管理的数据集成和决策. 这种结构化的知识库改善了研究和临床实践,以获得更好的患者结果.
科学领域:
- 生物医学信息学 生物医学信息学
- 医学本体学的医学本体学
- 心血管健康 心血管健康
背景情况:
- 高血压管理需要改进数据集成和知识表示.
- 现有的实体学缺乏针对高血压的全面功能.
研究的目的:
- 设计高血压本体 (HPO) 以更好地整合数据,知识表示和高血压管理中的决策.
- 为高血压研究和临床实践创建一个标准化的框架.
主要方法:
- 在十个数据库中进行了系统文献审查 (SLR),以确定基本概念.
- 使用Protégé. developed开发了高血压本体学 (HPO) 的方法.
- 在BioPortal上发布HPO以提高可访问性.
主要成果:
- 高血压包括114个类别和5个属性,结构风险因素,症状,诊断和治疗.
- 高端组织 (HPO) 增强了知识发现和数据共享能力.
- 与现有的高血压相关的本体学相比,HPO表现出优越的功能.
结论:
- 在研究和临床环境中,HPO标准化了高血压管理.
- 未来的工作包括整合真实世界的数据,并加强与电子健康记录 (EHR) 的互操作性.
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