SPHN Schema Forge - 通过利用语义网络技术,将医疗保健语义从人类可读到机器可读
Vasundra Touré1, Deepak Unni2, Philip Krauss3
1Personalized Health Informatics, SIB Swiss Institute of Bioinformatics, Basel, 4051, Switzerland. vasundra.toure@sib.swiss.
SPHN Schema Forge自动将医疗保健数据从表格格式转换为RDF,节省了研究人员的时间. 该工具简化了为瑞士个性化健康网络 (SPHN) 创建医学知识图的过程.
科学领域:
- 医疗信息学 医疗信息学
- 语义网络技术 语义网络技术
- 医学知识图表 医学知识图表
背景情况:
- 瑞士个性化健康网络 (SPHN) 使用资源描述框架 (RDF) 进行医疗数据编码.
- RDF使机器可读性成为可能,但对人类对医学知识图的理解提出了挑战.
- 从表式的SPHN数据集到RDF模式的手动翻译是耗时和劳动密集的.
研究的目的:
- 将医疗保健数据从表格格式转换为RDF的过程自动化和简化.
- 开发一个用户友好的工具,用于生成RDF图表和相关资源.
主要方法:
- SPHN Schema Forge 网络服务的开发.
- 将符合SPHN的数据集电子表格自动转换为RDF方案.
- 生成用于数据验证,HTML可视化和SPARQL查询的SHACL规则.
主要成果:
- SPHN Schema Forge成功地将表格数据转换为RDF图表的自动化.
- 该工具生成用于数据验证,可视化和分析的基本组件.
- 显著减少手工劳动和时间用于图表生成.
结论:
- SPHN Schema Forge提高了创建医学知识图表的效率.
- 研究人员现在可以花更多的时间来解释和分析数据.
- 该工具支持SPHN通过数据互操作性推进个性化医疗保健的使命.
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