基于语义网络的本体学:心血管知识表示的全面框架
Sabahat Sabir1, Fahad Maqbool1, Muhammad Saad Razzaq1
1Department of Computer Science, University of Sargodha, Sargodha, Pakistan.
一个新的心脏病本体 (HDO) 被开发来组织和分享关于心脏病的关键信息. 这一全面的知识门户改善了对心脏病的理解和管理,以获得更好的医疗保健.
科学领域:
- 在医疗保健中的语义网络技术.
- 为医疗数据管理开发本体论.
- 心脏病学中的知识表示.
背景情况:
- 语义网络使机器可读的医疗数据成为可能,提高了互操作性.
- 现有的心脏病信息缺乏结构化的本体学表示.
- 对心脏病的综合知识体系存在需要.
研究的目的:
- 开发一个全面的心脏病本体学 (HDO).
- 作为主要心脏病的知识门户.
- 提供有关原因,危险因素,症状,诊断和治疗的准确数据.
主要方法:
- 使用Ontology Web Language (OWL) 和Protégé中的RDF开发了HDO.
- 集成的schema.org和从SNOMED CT,ICD10,FHIR,NCIT和SCDO中重复使用的类.
- 使用OOPsPitfall扫描仪和Hermit Reasoner评估HDO;与心脏病学家进行验证.
主要成果:
- HDO包括104个类,20个对象属性,14个数据属性和808个实例.
- 从schema.org和medicalontologies.org重新使用了22个类和17个属性.
- 通过使用案例和SPARQL查询验证功能;专家证实领域知识.
结论:
- HDO提供了针对心脏病的结构化,可互操作的知识库.
- 本体论促进了心血管健康的精确和可靠的信息交换.
- HDO提高了对心脏病信息的理解和管理.
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