关键词: 代价敏感, 三支决策, 邻域, 大数据医疗

Abstract:

The three-way decision-making is based on cost sensitivity. By introducing delayed decision-making, the classification can be more reasonable under the condition of incomplete information. In this paper, the optimization decision problem of decision information system with mixed attribute characteristics is considered. The neighborhood relationship is defined on the mixed attribute information system, and the decision rough set model based on neighborhood relation is constructed. On this basis, it is applied to the decision-making problem of gout clinical diagnosis, and the gout data are classified by iterative learning. Compared with SVM（Support Vector Machine）, RF（Random Forest）, LR（Logistic Regression） classification algorithms, the superiority of this method is proved. Finally, according to the classification results, this paper finds the internal relationship between the factors, obtains the classification rules, and explores the correlation between gout and liver function, kidney function, blood fat and blood sugar, so as to provide knowledge support and decision support for the cause research, diagnosis and treatment of gout.

Key words: cost sensitivity, three-way decision, neighborhood, big data medical treatment