Abstract: A resolve scheme of a general platform for disease computer-aided diagnosis based on Web is proposed, which aims at complexity and limitations of traditional medical experts system. This system and its work flow are illustrated, and the design thought and implementation method of this reslove scheme are discussed. This paper also presents the data normalization, form board of case, case collection, knowledge acquisition and implementation of diagnosis on line. Practical test results show that this system is feasible on both function and performance.

Key words: Computer Aided Diagnosis(CAD), disease attribute, template, knowledge mining, regulation matching

摘要： 针对传统医疗专家系统设计的复杂性和局限性，提出一种基于Web的通用疾病辅助诊断平台。阐述系统的整体架构和工作流程，讨论该解决方案的设计思想及实现方法。介绍数据规范化、病历模板、病历采集、知识获取、在线诊断功能的实现技术。实际测试表明，该系统在功能和性能上都是可行的。

关键词: 计算机辅助诊断, 疾病属性, 模板, 知识挖掘, 规则匹配

CLC Number: 

• N945.12