摘要
提出和设计了一个基于多数据挖掘算法的农村多发病的辅助诊断系统。该系统提出了分层的诊断知识模型,混合了不同的数据挖掘算法,设计了合理的数据模型。实践证明,该系统具有较理想的数据挖掘效率,为农村医师提供了有力的多发病辅助诊断支持。
The assisted diagnostic system of frequent disease is advanced and designed in this paper, which is based on multi-data mining algorithm and puts forward delaminating-based model of diagnostic knowledge, mixes different data mining algorithm and designs rational data model. The system, practices provided, is available of perfect efficiency of data mining and provides rural physicians with powerful diagnostic support for frequent disease.
出处
《微计算机信息》
北大核心
2008年第15期186-187,233,共3页
Control & Automation
关键词
多发病
诊断系统
多数据挖掘算法
Frequent disease
Diagnostic system
Multi-Data mining algorithm
