基于免疫遗传算法的抗菌药物数据挖掘

本文主要研究基于免疫遗传算法的抗菌药物数据挖掘.在数据挖掘的过程中，传统挖掘方法的精确度较低，因此，将免疫遗传算法技术应用到抗菌药物数据挖掘中，可以提高数据挖掘的准确性和及时性.数据挖掘技术为有效地分析疾病间的关系以及其出现的规律提供了新思路，以此来更好地治疗疾病，提升治疗效果.在HIS系统中对抗菌药物的数据进行分析和挖掘，获得潜在的规律和趋势，逐渐建立抗菌药物诊断知识库.依据HIS系统的医嘱数据，根据规则自主学习并更新知识库数据，从而为医生治疗患者提供合理的辅助决策.

Data Mining of Antimicrobial Drug Based on Immune Genetic Algorithm

In this paper, we study data mining of the antimicrobial drug based on immune genetic algorithm. The accuracy of traditional approach for data mining is poor. The immune genetic algorithm technology, which is applied to the data mining of antimicrobial drug can improve the accuracy and timeliness of data mining. Data mining provides a new idea for the effective analysis of the relationship between the disease and its occurrence regularities, which helps better curing the disease and improving the treatment effect. By immune genetic algorithm, it analyzes and mines antibacterialdrug data in HIS, and obtains the rules and trends of potential, which gradually establishes the diagnosis knowledge database of antibacterial drug. According to the doctor''s order data of HIS system and autonomous learning and updatding the knowledge database, the approach provides a reasonable assistant decision for doctors to treat patients.