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面向基于语义网的临床研究标准元数据模型的表示与协调

Towards Semantic-Web Based Representation and Harmonization of Standard Meta-data Models for Clinical Studies.

作者信息

Tao Cui, Jiang Guoqian, Wei Weiqi, Solbrig Harold R, Chute Christopher G

机构信息

Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN.

出版信息

AMIA Jt Summits Transl Sci Proc. 2011;2011:59-63. Epub 2011 Mar 7.

Abstract

In this paper, we introduce our case studies for representing clinical study meta-data models such as the HL7 Detailed Clinical Models (DCMs) and the ISO11179 model in a framework that is based on the Semantic-Web technology. We consider such a harmonization would provide computable semantics of the models, thus facilitate the model reuse, model harmonization and data integration.1.

摘要

在本文中,我们介绍了我们的案例研究,即在基于语义网技术的框架中表示诸如HL7详细临床模型(DCM)和ISO11179模型等临床研究元数据模型。我们认为这种协调将提供模型的可计算语义,从而促进模型重用、模型协调和数据集成。1.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4bc9/3248749/dec12a594ea3/59-cri_summit_2011f1.jpg

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