The Construction and Comparative Optimization of Classification Prediction Model in Diabetic Cases

摘要

In order to compare the differences of machine classification in the application to medical data, the experimental study is carried on using the diabetes data collected from HIS system. In this paper, analysis and assessment with various classification algorithms such as Decision Tree Algorithm, Naive Bayesian and Neural Network Algorithm have been applied to explore the advantages and disadvantages of each machine classification algorithm, and optimize them. The results showed that the algorithm of Naive Nayes and Neural Network received high accuracy and the diagnosis performance was good.