Study of semantic and norm analysis for adaptive clinical pathway modeling

doi:10.3778/j.issn.1002-8331.2009.06.066

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (6): 229-231.DOI: 10.3778/j.issn.1002-8331.2009.06.066

• 工程与应用 • Previous Articles Next Articles

Study of semantic and norm analysis for adaptive clinical pathway modeling

YANG Hong-qiao¹,LI Shu-zhang¹,ZHAO Jun-ping¹,LI Wei-zi²

1.Chinese PLA General Hospital，Beijing 100853，China
2.Beijing Institute of Technology，Beijing 100081，China

Received:2008-11-18 Revised:2009-01-13 Online:2009-02-21 Published:2009-02-21
Contact: YANG Hong-qiao

自适应临床路径建模中语义与规范分析研究

杨宏桥¹,李书章¹,赵军平¹,李微子²

1.解放军总医院，北京 100853
2.北京理工大学，北京 100081

通讯作者: 杨宏桥

Abstract

Abstract: In this paper，semantic analysis and norm analysis are applied to capture and represent knowledge of clinical pathway.Semantic analysis decides semantic units in clinical pathway，their relationship and their patterns of behavior.Norm analysis extracts and specifies the norms that establish how and when these medical behaviors will occur.Finally，a method，which is used to build an adaptive clinical pathway modeling is put forward to develop clinical pathway ontology based on the results of semantic analysis and norm analysis.

Key words: clinical pathway, semantic analysis, norm analysis, ontology

摘要： 文中运用语义分析与规范分析的方法表示临床路径知识，其中语义分析表示临床路径中的语义单元以及它们的关系与行为的方式，规范分析提取并描述决定这些行为如何发生的规范。论述了基于语义分析和规范分析建立临床路径本体模型的方法，通过定义可能的行为模式和根据病人的具体情况控制这些行为的规范，为自适应临床路径建模提供关键技术，从而为设计实现自适应临床路径奠定基础。

关键词: 临床路径, 语义分析, 规范分析, 本体

YANG Hong-qiao¹,LI Shu-zhang¹,ZHAO Jun-ping¹,LI Wei-zi². Study of semantic and norm analysis for adaptive clinical pathway modeling[J]. Computer Engineering and Applications, 2009, 45(6): 229-231.

杨宏桥¹,李书章¹,赵军平¹,李微子². 自适应临床路径建模中语义与规范分析研究[J]. 计算机工程与应用, 2009, 45(6): 229-231.

[1]	YANG Quan. SVM Algorithm for N1+N2 Structure Syntax Relation Determination [J]. Computer Engineering and Applications, 2021, 57(20): 104-108.
[2]	WANG Zhiyue, YU Qing, WANG Nan, WANG Yaoguo. Survey of Intelligent Question Answering Research Based on Knowledge Graph [J]. Computer Engineering and Applications, 2020, 56(23): 1-11.
[3]	GAO Jian, WANG An. Research on Ontology-Based Network Threat Intelligence Analysis Technology [J]. Computer Engineering and Applications, 2020, 56(11): 112-117.
[4]	LI Jinhai, HE Youshi, MA Yunlei, ZHOU Aiping. Research of Universal Model for Knowledge Representation Based on Multi-layer Domain Ontology [J]. Computer Engineering and Applications, 2020, 56(11): 149-155.
[5]	WANG Siyu, HE Jingsha, TENG Da. Access Control System Supporting Quantification and Protection of Privacy Information [J]. Computer Engineering and Applications, 2019, 55(16): 77-87.
[6]	QU Hanhua1, HUI Jianzhong1, HE Xianfeng2, WANG Muhua1, HE Xiaofeng1, FENG De’en1. Formal concept analysis model of meteorological services [J]. Computer Engineering and Applications, 2018, 54(9): 257-264.
[7]	YOU Yun1，2，3, WAN Changxuan1，3, CHEN Huangye1，3. Diversified commodity recommendation method considering correlation between objects [J]. Computer Engineering and Applications, 2018, 54(7): 70-76.
[8]	WANG Zhen. Engineering change impact analysis based on design knowledge ontology [J]. Computer Engineering and Applications, 2018, 54(5): 247-252.
[9]	ZHU Wenyue，LIU Zongtian. Emergency domain knowledge modeling based on event ontology [J]. Computer Engineering and Applications, 2018, 54(21): 148-155.
[10]	PENG Fei1, ZHANG Tao1, XU Weiguang1, ZHAO Min1, QIN Hengjia2. Security policy generation model of operating system based on ontology [J]. Computer Engineering and Applications, 2018, 54(2): 114-118.
[11]	WANG Hong, ZHANG Hao, SHI Jinchuan. Research on domain ontology concept acquisition method based on Latent Dirichlet Allocation [J]. Computer Engineering and Applications, 2018, 54(13): 252-257.
[12]	WANG Jiahai, CHEN Yu. Data driven Job Shop production scheduling knowledge mining and optimization [J]. Computer Engineering and Applications, 2018, 54(1): 264-270.
[13]	HAN Xueren1, WANG Qingshan1, GUO Yong1, CUI Xingya2. Geographic ontology concept semantic similarity measure model based on BP neural network optimized by PSO [J]. Computer Engineering and Applications, 2017, 53(8): 32-37.
[14]	CHEN Heng1，2, LI Guanyu2, CHEN Xinying2，3. Modular thinking’s application in large scale ontology matching [J]. Computer Engineering and Applications, 2017, 53(8): 149-153.
[15]	BAO Xuguang, WANG Lizhen, CHEN Hongmei. Co-location-based site selection using ontologies [J]. Computer Engineering and Applications, 2017, 53(24): 15-22.

Study of semantic and norm analysis for adaptive clinical pathway modeling

自适应临床路径建模中语义与规范分析研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics