使用标准化命名法从常见数据模型中对瘤学相关概念进行语义映射到儿科癌症数据模型
Bradley Carlson1, Michael Watkins1, Mei Li1
1Department of Pediatrics, University of Chicago, Chicago, IL.
AMIA ... Annual Symposium proceedings. AMIA Symposium
|January 15, 2024
概括
儿科癌症数据共享 (PCDC) 为儿科癌症研究创建了一个标准化的数据模型. 该模型使用语义映射来改进跨不同数据集的数据共享和分析.
科学领域:
- 生物医学信息学 生物医学信息学
- 在瘤学瘤学.
- 数据科学数据科学数据科学
背景情况:
- 儿科癌症数据共享 (PCDC) 通过数据共享促进儿童癌症研究的国际合作.
- PCDC已经开发了一个共识数据模型,涵盖了各种儿童癌症类型.
- 现有的数据模型往往缺乏标准化映射,阻碍了数据集成和分析.
研究的目的:
- 描述使用语义科学标准本体学映射 (SSSOM) 来创建一个"枢纽和分支"映射模型.
- 将多个共同数据模型 (CDM) 与PCDC数据模型映射.
- 加强儿科瘤学研究社区的数据共享和转型能力.
主要方法:
- 采用SSSOM,这是一个用于语义丰富数据映射的规范.
- 开发一个"hub and spoke"模型,将各种CDM连接到PCDC数据模型.
- 分析儿科瘤学领域中CDM的覆盖范围.
主要成果:
- 建立了目前儿童瘤学CDM覆盖范围的清晰概述.
- 提供了一个创建标准化,语义丰富的数据映射的演示.
- 这些映射有助于下游数据转换和穿越能力.
结论:
- 标准化语义映射,利用SSSOM,显著提高儿童癌症研究的数据共享.
- 这种方法为管理和整合各种数据集的研究人员提供了宝贵的资源.
- 开发的模型指导创建强大的数据映射,远离临时解决方案.
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