| 基于特征分类树与复合网络的元数据模型在大型医疗仪器共享服务中的应用研究 |
| 修订日期：2021-10-13 点此下载全文 |
| 引用本文：秦毓泽,张辉,张军欢.基于特征分类树与复合网络的元数据模型在大型医疗仪器共享服务中的应用研究[J].医学信息学杂志,2021,42(11):67-74 |
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| 基金项目:重点研发计划项目“分布式科技资源体系及服务评价技术研究”(项目编号:2017YFB 1400200)；重点研发计划项目“跨平台科技资源聚合及规模化服务空间构建”(项目编号:2018YFB1402904)。 |
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| 中文摘要:提出一种基于特征分类树与复合网络的元数据模型,选取大型医疗仪器数据构建模型并进行验证。结果显示该模型能够依据大型医疗仪器不同维度特征进行分类,实现精准快速检索,可用于描述多类型、异构异质、多领域数据。本研究在一定程度上解决了多种类元数据信息难以集成和融合的问题。 |
| 中文关键词:元数据 复合网络 树形结构 |
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| A Metadata Model Based on Feature Classification Tree and Composite Network:Its Application in Large-scale Medical Equipment Shared Services |
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| Abstract:A metadata model based on feature classification tree and composite network is proposed, and the large-scale medical equipment data are selected to build a model and the model is verified. The results show that the model can be classified according to the characteristics of different dimensions of large-scale medical equipment to achieve accurate and fast retrieval, and the model can be used to describe multiple types, heterogeneous and multi-domain data. To a certain extent, the study solves the problem of the difficulty of integration and fusion of various types of metadata information. |
| keywords:metadata composite network tree structure |
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