Please wait a minute...
Journal of ZheJiang University(Medical Science)  2014, Vol. 43 Issue (2): 252-256    DOI: 10.3785/j.issn.1008-9292.2014.01.003
Development of expert diagnostic system for common respiratory diseases
XU Wei-hua1,CHEN You-ling2,YAN Zheng3
1.Department of Respiratory Medicine,Tongde Hospital of Zhejiang Province,Hangzhou 310012, China; 2.Hangzhou Hezhi Weiye Science & Technology Company Limited,Hangzhou 310012;3.Zhejiang Academy of Medical Sciences,Hangzhou 310013, China
Download:   PDF(681KB)
Export: BibTeX | EndNote (RIS)      


Objective: To develop an internet-based expert diagnostic system for common respiratory diseases. Methods: SaaS system was used to build architecture; pattern of forward reasoning was applied for inference engine design; ASP.NET with C# from the tool pack of Microsoft Visual Studio2005 was used for website-interview medical expert system.The database of the system was constructed with Microsoft SQL Server 2005. Results: The developed expert system contained large data memory and high efficient function of data interview and data analysis for diagnosis of various diseases.The users were able to perform this system to obtain diagnosis for common respiratory diseases via internet. Conclusion: The developed expert system may be used for internet-based diagnosis of various respiratory diseases,particularly in telemedicine setting.

Key wordsRespiratory tract diseases/diagnosis      Artificial intelligence      Expert systems      Computer communication networks     
Received: 02 April 2013      Published: 04 January 2014
Cite this article:

XU Wei-hua,CHEN You-ling,YAN Zheng. Development of expert diagnostic system for common respiratory diseases. Journal of ZheJiang University(Medical Science), 2014, 43(2): 252-256.

URL:     OR


目的:开发一个结合互联网技术的呼吸系统常见住院疾病诊断专家系统。方法:采用SaaS架构体系,使用Microsoft Visual Studio 2005工具包中的ASP.NET和C#开发基于浏览器访问方式的网络医学专家诊断系统。其数据库通过Microsoft SQL Server 2005构建,并且采用正向推理的推理机设计。结果:该专家系统拥有高效的数据访问及智能数据分析功能,是一个覆盖多个疾病的医学诊断专家系统。同时用户能够通过网络方式进行疾病诊断。结论:该系统可以诊断多种常见呼吸系统疾病。该系统结合了网络技术,可以进行远程医疗服务。

关键词: 呼吸道疾病/诊断,  人工智能,  专家系统,  计算机通信网络 
[1] LU Han-ti, LI Fu-dong, LIN Jun-fen, HE Fan, SHEN Yi. Construction of early warning model of influenza-like illness in Zhejiang Province based on support vector machine[J]. Journal of ZheJiang University(Medical Science), 2015, 44(6): 653-658.