Pirogov Russian National Research Medical University, Russia.
Stud Health Technol Inform. 2024 Aug 22;316:1487-1491. doi: 10.3233/SHTI240695.
This article presents our experience in development an ontological model can be used in clinical decision support systems (CDSS) creating. We have used the largest international biomedical terminological metathesaurus the Unified Medical Language System (UMLS) as the basis of our model. This metathesaurus has been adapted into Russian using an automated hybrid translation system with expert control. The product we have created was named as the National Unified Terminological System (NUTS). We have added more than 33 million scientific and clinical relationships between NUTS terms, extracted from the texts of scientific articles and electronic health records. We have also computed weights for each relationship, standardized their values and created symptom checker in preliminary diagnostics based on this. We expect, that the NUTS allow solving task of named entity recognition (NER) and increasing terms interoperability in different CDSS.
这篇文章介绍了我们在开发本体模型方面的经验,该模型可用于临床决策支持系统 (CDSS) 的创建。我们使用了最大的国际生物医学术语元词表统一医学语言系统 (UMLS) 作为我们模型的基础。这个元词表已经通过使用带有专家控制的自动化混合翻译系统进行了俄语适配。我们创建的产品被命名为国家统一术语系统 (NUTS)。我们已经添加了超过 3300 万条 NUTS 术语之间的科学和临床关系,这些关系是从科学文章和电子健康记录的文本中提取的。我们还计算了每个关系的权重,标准化了它们的值,并在此基础上创建了初步诊断的症状检查器。我们预计,NUTS 将允许解决命名实体识别 (NER) 任务,并提高不同 CDSS 中的术语互操作性。