Classification and Statistics of Endocrine Diseases and Diagnoses based on Artificial Intelligence

被引：0
|
作者：
Yan Shuxun [1 ]
Wang Ying [2 ]
Li Huan [1 ]
Li Yun [1 ]
机构：
[1] Henan Coll Tradit Chinese Med, Zhengzhou 450008, Henan, Peoples R China
[2] Zhengzhou Univ, Affiliated Hosp 1, Zhengzhou 450008, Henan, Peoples R China
来源：
2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND ENGINEERING APPLICATIONS | 2013年
关键词：
Integrated retrieval; Agent retrieval; Ontology; Information Visualization;
D O I：
10.1109/ISDEA.2013.450
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we introduce the design and experiments of project for Integrated and Agent Retrieval System to classify domain digital resource of diseases and diagnoses. According to the domain ontology of disease and diagnoses, the modelling, constructing and application of Ontology in this project will service for agent retrieval and knowledge-based management, which present the application of information visualization technology in human interface design by analysis.
引用
收藏
页码：202 / 207
页数：6
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