HeNeCOn:一个在头癌综合性研究的本体学
Liss Hernández1, Estefanía Estévez-Priego1, Laura López-Pérez1
1Universidad Politécnica de Madrid-Life Supporting Technologies Research Group, ETSIT, 28040 Madrid, Spain.
International journal of medical informatics
|November 19, 2023
概括
一个新的头部和部癌症本体学 (HeNeCOn) 为更好的研究标准化了复杂的临床数据. 该工具有助于管理和链接当前和未来的头癌知识.
科学领域:
- 医疗信息学 医疗信息学
- 本体学 工程学 工程学
- 癌症研究 癌症研究
背景情况:
- 头癌 (HNC) 给全球健康带来了重大挑战.
- 来自HNC的异质临床数据需要数据标准化进行研究.
- 实体学和语义技术为数据协调提供了一个解决方案.
研究的目的:
- 开发一个临床可靠的头癌 (HNC) 数据模型.
- 创建专门为HNC域名创建的第一个本体学,名为HeNeCOn.
- 在诊断,治疗和后续阶段标准化HNC数据.
主要方法:
- 为正式的HNC描述创建了一个注释数据集.
- 170个临床变量被组织成一个分类.
- 通过代扩展,映射和临床医生验证开发了HeNeCOn本体学.
主要成果:
- HeNeCOn包括502个类和一个层次的分类法.
- 它包括283个医学术语的语义定义,以及详细的关系.
- 本体论作为一种信息提取和知识管理的工具.
结论:
- HeNeCOn为HNC术语提供了一个可重复使用,可扩展和标准化的数据模型.
- 它有助于管理HNC研究中的现有和新知识.
- 本体论允许数据与其他公共本体论进行链接和映射.
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