A self-adaptive dynamic evaluation model for diabetes mellitus, based on evolutionary strategies

作     者：Lu, An-Jiang Jin, Li Kan, Hong-Xing 

作者机构：College of Big Data and Information Engineering Guizhou University Guiyang Guizhou550025 China School of Medical Information Technology Anhui University of Chinese Medicine Hefei Anhui230012 China 

出 版 物：《International Journal Bioautomation》 (Int. J. Bioautomotion)

年 卷 期：2016年第20卷第1期

页      面：79-88页

核心收录：

学科分类：08[工学] 09[农学] 070203[理学-原子与分子物理] 090102[农学-作物遗传育种] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 1007[医学-药学(可授医学、理学学位)] 100706[医学-药理学] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 0835[工学-软件工程] 0901[农学-作物学] 0836[工学-生物工程] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Diagnosis 

摘      要：In order to evaluate diabetes mellitus objectively and accurately, this paper builds a self-adaptive dynamic evaluation model for diabetes mellitus, based on evolutionary strategies. First of all, on the basis of a formalized description of the evolutionary process of diabetes syndromes, using a state transition function, it judges whether a disease is evolutionary, through an excitation parameter. It then, provides evidence for the rebuilding of the evaluation index system. After that, by abstracting and rebuilding the composition of evaluation indexes, it makes use of a heuristic algorithm to determine the composition of the evolved evaluation index set of diabetes mellitus, It then, calculates the weight of each index in the evolved evaluation index set of diabetes mellitus by building a dependency matrix and realizes the self-adaptive dynamic evaluation of diabetes mellitus under an evolutionary environment. Using this evaluation model, it is possible to, quantify all kinds of diagnoses and treatment experiences of diabetes and finally to adopt ideal diagnoses and treatment measures for different patients with diabetics.