摘要
目的 基于多粒度知识表示模型构建卫生技术评估(HTA)指标知识库,以期满足用户多样的HTA知识服务需求。方法 首先,系统分析HTA指标体系,构建多粒度HTA指标知识表示模型;其次,利用人机协同方法对HTA指标文献进行多粒度的HTA指标知识抽取和主题标引;最后,设计并开发HTA指标知识库原型。结果 构建了涵盖指标体系、指标项、公式、测量变量、主题5个核心知识单元、20类属性和12类关系的多粒度HTA指标知识表示模型,揭示了多粒度指标知识单元间内在特征与联系。基于227篇HTA指标文献进行多粒度HTA指标知识抽取与主题标引,形成了实例数据。最终开发了HTA指标知识库原型(HTA Indicators)。HTA Indicators具有多粒度HTA指标知识检索、导航、链接等服务功能。结论 基于多粒度知识表示模型的HTA指标知识库构建策略可行,形成的指标知识库能够实现指标知识的多维度语义组织,提供多层次、多维度指标知识检索与发现服务,满足用户精准化HTA知识需求。未来将探索利用大语言模型等前沿技术实现大规模HTA知识的自动化构建,从而全面提升知识库构建的效率与智能化水平。
Objective To investigate the construction strategy of a knowledge base for health technology assessment(HTA)indicators based on a multi-granularity knowledge representation model,in order to meet the users'diverse demands for HTA knowledge services.Methods Firstly,we constructed a multi-granularity HTA indicator knowledge representation model based on systematically analyzing the content and structure of the HTA indicator system in literature.Secondly,we extracted multi-granularity HTA indicator knowledge from literature and conduct subject indexing in a human-computer collaborative way.Finally,based on the HTA knowledge service requirements,a prototype of the HTA indicator knowledge base-HTA Indicators was designed and developed.Results A multi-granularity HTA indicator knowledge representation model was constructed,covering 5 core knowledge units(indicator systems,indicator items,formulas,measurement variables,and subjects),20 types of attributes,and 12 types of relationships.This model represented the intrinsic characteristics and connections between multi-granularity indicator knowledge units.Knowledge extraction and subject indexing of multi-grain HTA indicators were conducted based on 227 HTA indicator documents,forming instance data.Finally,a prototype of the HTA indicator knowledge base,named HTA Indicators,was developed.HTA Indicators provides services such as multi-granularity HTA indicator knowledge retrieval,navigation,and linking.Conclusion The construction strategy of the HTA indicator knowledge base based on the multi-granularity knowledge representation model is feasible.The indicator knowledge base can achieve multi-dimensional semantic organization of indicator knowledge,provide multi-level and multi-dimensional indicator knowledge retrieval and discovery services,and meet the users'demand for precise HTA knowledge.In the future,we will explore the use of cutting-edge technologies such as large language models to achieve the automated construction of large-scale HTA knowledge,thereby enhancing the efficiency and intelligence level of knowledge base construction.
作者
沈柳
郭臻
孙海霞
钱庆
肖月
邱英鹏
林燕
史黎炜
陈浩然
蒲思樾
赵一凡
SHEN Liu;GUO Zhen;SUN Haixia;QIAN Qing;XIAO Yue;QIU Yingpeng;LIN Yan;SHI Liwei;CHEN Haoran;PU Siyue;ZHAO Yifan(Institute of Medical Information,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100020,P.R.China;National Center for Mental Health,Beijing 100032,P.R.China;China National Health Development Research Center,Beijing 100044,P.R.China;School of International Pharmaceutical Business,China Pharmaceutical University,Nanjing 210009,P.R.China)
出处
《中国循证医学杂志》
北大核心
2025年第9期1064-1070,共7页
Chinese Journal of Evidence-based Medicine
基金
国家重点研发计划(编号:2022YFC3601005)。
关键词
卫生技术评估
知识表示模型
指标知识库
知识组织
Health technology assessment(HTA)
Knowledge representation model
Indicator knowledge base
Knowledge organization
