现代电子技术2017，Vol.40Issue(11)：115-118,4.DOI:10.16652/j.issn.1004-373x.2017.11.030
基于改进GA-SVM的智能推荐诊断挂号算法
Intelligent-recommendation diagnosis registration algorithm based on improved GA-SVM
摘要
Abstract
An intelligent-recommendation diagnosis registration algorithm was designed to improve the efficiency of medical treatment. The intelligent medical system performs training and machine learning for a large number of historical medical record texts,and classifies and recommends the appropriate medical departments for patients according to the patient characteristics. The genetic algorithm(GA)is combined with support vector machine to extract the characteristic value and optimize the parame-ter. The kernel function parameters and text characteristic values are taken as the chromosomes of the genetic algorithm to exe-cute the selection,crossover and mutation operations. To improve the efficiency of GA,and avoid trapping in local optimum, the mechanism combining weighted depth-first search with roulette is used in the group initialization stage with GA to guarantee the population diversity,and performs with adaptive optimization to the crossover probability and mutation probability,which can realize the global search while reserving the useful genetic information. The experiment results show that the algorithm can improve the classification accuracy while reducing the quantity of characteristic values.关键词
改进遗传算法/支持向量机/智能医疗系统/智能推荐诊断挂号算法Key words
improved genetic algorithm/support vector machine/intelligent medical system/intelligent-recommendation diagnosis registration system分类
信息技术与安全科学引用本文复制引用
陈俊梅,周晋阳,张慧英..基于改进GA-SVM的智能推荐诊断挂号算法[J].现代电子技术,2017,40(11):115-118,4.基金项目
国家自然科学基金资助项目(81070339) （81070339）
山西省高校科技研究开发项目基金(20091025) （20091025）
