多中心青少年和年轻成年人癌症基础设施的知识代表:STRONG AYA知识图的开发
Joshi Hogenboom1, Varsha Gouthamchand1, Charlotte Cairns2,3
1Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, the Netherlands.
JCO clinical cancer informatics
|January 14, 2026
概括
语义网络技术,如知识图,为STRONG青少年和年轻成人 (AYA) 癌症项目实现了数据互操作性. 这种方法协调了各种数据格式,克服了罕见疾病研究计划中的挑战.
科学领域:
- 医疗信息学 医疗信息学
- 生物信息学是一种生物信息学.
- 数据科学数据科学数据科学
背景情况:
- 罕见疾病研究,特别是患有癌症的青少年和年轻人 (AYA),需要大量的分散数据收集工作.
- 数据协调带来了重大挑战,往往使数据不兼容,并阻碍了研究进展.
- 强壮青少年和年轻成年人 (AYA) 项目旨在建立AYA癌症研究的联合数据基础设施,面对不同的数据格式.
研究的目的:
- 展示医疗保健不可知的语义网络技术的应用,以克服数据互操作性和协调性挑战.
- 详细介绍STRONG AYA项目中用于创建联合数据基础设施的方法.
- 展示语义技术如何能够在罕见疾病研究中实现各种数据格式的集成.
主要方法:
- 为STRONG AYA项目制定知识图来结构案例组合和核心成果措施.
- 使用知识图和Flyover工具的注释辅助插件创建了一个语义地图.
- 飞越,一个用于将数据转换为资源描述框架 (RDF) 三倍的工具,被用来实现语义互操作性.
主要成果:
- 知识图提供了对STRONG AYA项目的众多概念的全面概述.
- 语义术语映射和注释辅助器促进了对数据进行复杂术语查询,而无需修改数据.
- 知识图和语义地图在Hugo网页上发布,以提高透明度和理解.
结论:
- 语义网络技术,包括RDF和知识图,为联合癌症数据基础设施中的数据互操作性和可重复使用性提供了灵活的解决方案.
- 这些域异的技术成功地将语义上有意义的概念与非标准化的医疗数据联系起来,使其可互操作.
- 这种方法克服了严格的标准化方案的局限性,对于像STRONG AYA项目这样的复杂研究项目来说是可行的.
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