首页|基于PADIS指南的知识图谱构建研究

基于PADIS指南的知识图谱构建研究

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目的/意义构建基于临床实践谵妄指南的知识图谱,旨在为提升医护人员对指南的依从性提供方法学参考.方法/过程基于知识图谱构建方法,以指南为主要数据来源,基于指南知识架构和专家意见构建本体;采用三元组数据模型进行知识表示;采用"BIOES"标注体系进行人工标注,包含实体、关系和属性等;利用图形数据库Neo4j实现知识图谱的可视化.结果/结论所构建的知识图谱包含112种实体类型和16种实体间关系,形成124个三元组,用于描述实体之间的关系、实体的属性及其对应的属性值.未来研究将进一步探索深度学习等模型在知识抽取中的应用,并探究指南自更新机制,以适应当前医学领域指南快速更新的现状.
Study on the Construction of a Knowledge Graph Based on PADIS Guidelines
Purpose/Significance To construct a knowledge graph based on clinical practice guidelines for pain,agitation/sedation,delirium,immobility,and sleep disruption in adult patients in the ICU(PADIS guidelines),and to provide methodological references for improving the adherence of medical staffs to the guidelines.Method/Process Based on the construction method of the knowledge graph,the guidelines are used as the main data source,and the ontology is constructed based on the guideline framework and expert opinions.The triplet data model is used to represent knowledge.The"BIOES"labeling system,including entities,relationships,and attributes,is adopted for manual labeling.The visualization of the knowledge graph is realized by using the Neo4j graph database.Result/Conclusion The knowledge graph includes 112 entity types and 16 relationships among entities,and 124 triples are formed to describe the relation-ships among entities,the attributes of entities and their corresponding attribute values.In the future,it is necessary to explore the appli-cation of deep learning and other models in knowledge extraction,and explore the self-updating mechanism of guidelines to adapt to the current situation of rapid updating of guidelines in the medical field.

nursing managementclinical practice guidelineadherenceclinical nursing decision-making support systemknowl-edge graph

张山、陆观、刘璐、王慧莹、吴瑛

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首都医科大学护理学院 北京 100069

上海卓越睿新数码科技股份有限公司 上海 200233

护理管理 临床实践指南 依从性 临床护理决策支持系统 知识图谱

2024

医学信息学杂志
中国医学科学院

医学信息学杂志

CSTPCD
影响因子:1.348
ISSN:1673-6036
年,卷(期):2024.45(12)