关键词: 基因数据挖掘, 关联规则, 分类, 辅助诊断, 专家系统

Abstract: The development of effective nucleic acid analysis such as gene chip technology in the medical field makes clinical diagnosis and medical research be able to apply it to acquire a large number of genetic information of tumor genesis. Meanwhile, with the progress and application of machine learning theory and technology recently, plenty of expert systems based on artificial intelligence technology have occurred in various fields. Aiming to the characteristics of the analyzed gene information, this paper proposes the methods and implementation of a tumor auxiliary diagnostic expert system, and discusses the key techniques of data mining on the system implementation process. It also describes the structural framework, working mechanism and auxiliary diagnosis principle of the system. The experiment releases the test results by using clinical medical data, and the result indicates that system implementation discussed herein can meet the requirement of an auxiliary diagnosis in certain extent.

Key words: genetic data mining, association rules, classification, auxiliary diagnosis, expert system