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呼吸系统常见住院疾病诊断专家系统的设计与实现
引用本文:徐卫华,陈友凌,严峥.呼吸系统常见住院疾病诊断专家系统的设计与实现[J].浙江大学学报(医学版),2014,43(2):252-256.
作者姓名:徐卫华  陈友凌  严峥
作者单位:1.浙江省立同德医院呼吸科,浙江 杭州 310012 2.杭州合志伟业科技有限公司,浙江 杭州 310012 3.浙江省医学科学院,浙江 杭州 310013
基金项目:浙江省医药卫生科技计划(200921883).
摘    要: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  
收稿时间:2013-04-02

Development of expert diagnostic system for common respiratory diseases
XU Wei-hua,CHEN You-ling,YAN Zheng.Development of expert diagnostic system for common respiratory diseases[J].Journal of Zhejiang University(Medical Sciences),2014,43(2):252-256.
Authors:XU Wei-hua  CHEN You-ling  YAN Zheng
Institution: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
Abstract: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.
Keywords:Respiratory tract diseases/diagnosis  Artificial intelligence  Expert systems  Computer communication networks  
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