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基于本体的电子病历后结构化模型关键技术
引用本文:曾红武,彭丽.基于本体的电子病历后结构化模型关键技术[J].中华医学图书情报杂志,2017,26(8):13-16.
作者姓名:曾红武  彭丽
作者单位:重庆医科大学医学信息学院,重庆医科大学医学信息学院
基金项目:重庆市科技计划项目专项“基于互联网的健康服务关键共性技术研发与集成创新”(cstc2015shms-ztzx10011)
摘    要:空间向量模型是工程领域语义表达分类工具,本项目提出运用模糊向量空间模型概念,对电子病历海量数据进行挖掘。通过模型可以找寻出医生的诊疗习惯、诊疗模式、用药习惯等诊疗行为,从而推动分级诊疗、计算机辅助决策、精准医疗的全面实施。检索结果经过验证,其结论较传统检索方法更为准确。

关 键 词:向量空间模型  本体  知识库
收稿时间:2017/5/4 0:00:00
修稿时间:2017/6/2 0:00:00

Ontology-based key techniques for structured model of post-EMR
ZENG Hong-wu and PENG Li.Ontology-based key techniques for structured model of post-EMR[J].Chinese Journal of Medical Library and Information Science,2017,26(8):13-16.
Authors:ZENG Hong-wu and PENG Li
Institution:Chongqing medical university institute of medical information,Chongqing medical university institute of medical information
Abstract:Semantic expression vector space model is engineering classification tools, the project concept of fuzzy vector space model is put forward, and the electronic medical records, data mining ontology model, knowledge base model. Finally the conclusion has been proved by numerical implementation than traditional retrieval method is more accurate. Through the various models can be used to find out the doctor"s diagnosis and treatment, diagnosis and treatment patterns, custom and so on diagnosis and treatment behavior, so as to promote grading diagnosis, computer aided decision-making, precision medical full implementation.
Keywords:Vector space mode l  Ontology  The knowledge base
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