目的:中西医结合临床实践指南(TCM和WM)是辅助医疗决策的重要医学文献,对规范临床路径具有重要意义。然而,由于文本格式的限制,中西医结合CPG很难在医疗实践中发挥真正的作用。此外,如何规范集成中医与WMCPG知识之间的结构和语义关系,并实现可计算的构造,可共享和可靠的CPG,仍然是一个亟待解决的问题。因此,我们正在提出一种用于集成TCM和WM的CPG本体。
方法:我们首先初始化领域概念和关系,以确保本体知识结构的准确性。然后,我们筛选符合综合TCM和WM标准的CPG,对内容进行了分析和分类,并提取了常见的结构。基于结合推理补充的七步本体构建方法,参考MeSH中术语和概念的表示方法和层次关系,ICD-10,SNOMED-CT,以及其他本体和术语集,我们形成了本体的概念结构和语义关系表。我们还实现了本体与参考本体和术语集之间的匹配和映射。接下来,我们定义了属性的方面和约束,选择多个集成TCM和WMCPG作为要填充的实例,并使用本体推理工具和制定定义的推理规则来推理和扩展本体。最后,我们评估了本体的性能。
结果:集成TCM和WMCPG的内容分为九个部分:基本信息,背景,开发方法,临床问题,recommendation,证据,结论,结果,以及提出建议的理由。集成的TCM和WMCPG本体有152个类,定义了90个对象属性和114个数据属性,最大分类深度为4层。疾病的术语,本体论中的药品和检查项目名称已经标准化。
结论:本研究提出了一种整合的TCM和WMCPG本体。本体采用模块化设计,具有共享和扩展能力,并能表达丰富的指导性知识。它为指南文档的语义处理和计算应用提供了重要支持。
OBJECTIVE: Clinical practice guidelines (CPGs) for Integrated Traditional Chinese and Western Medicine (TCM and WM) are important medical documents used to assist medical decision-making and are of great significance for standardizing clinical pathways. However, due to the constraints of text format, it is difficult for Integrated TCM and WM CPGs to play a real role in medical practice. In addition, how to standardize the structure and semantic relationships between Integrated TCM and WM CPG knowledge, and realize the construction of computable, sharable and reliable CPGs, remains an urgent issue to be addressed. Therefore, we are proposing an
ontology of CPGs for Integrated TCM and WM.
METHODS: We first initialized domain concepts and relationships to ensure the accuracy of the ontology knowledge structure. We then screened CPGs that meet the standards for Integrated TCM and WM, analyzed and classified the contents, and extracted the common structures. Based on the seven-step ontology construction method combined with inference-complement, referring to the representation methods and hierarchical relationships of terms and concepts in MeSH, ICD-10, SNOMED-CT, and other ontologies and terminology sets, we formed the concept structure and semantic relationship tables for the ontology. We also achieved the matching and mapping between the ontology and reference ontologies and term sets. Next, we defined the aspects and constraints of properties, selected multiple Integrated TCM and WM CPGs as instances to populate, and used ontology reasoning tools and formulated defined inference rules to reason and extend the
ontology. Finally, we evaluated the performance of the
ontology.
RESULTS: The content of the Integrated TCM and WM CPGs is divided into nine parts: basic information, background, development method, clinical question, recommendation, evidence, conclusion, result, and reason for recommendations. The Integrated TCM and WM CPG ontology has 152 classes and defines 90 object properties and 114 data properties, with a maximum classification depth of 4 layers. The terms of disease, drug and examination item names in the
ontology have been standardized.
CONCLUSIONS: This study proposes an Integrated TCM and WM CPG
ontology. The ontology adopts a modular design, which has both sharing and scaling ability, and can express rich guideline knowledge. It provides important support for the semantic processing and computational application of guideline documents.