Research on Data Mining of Physical Examination for Risk Factors of Chronic Diseases Based on Classification Decision Tree

This paper analyzes the concept of classification analysis and the properties of decision tree, and gives the implementation process of ID3 algorithm. The medical examination data of medical examination information management system of Xi’an Shiyou University Hospital from 2013 to 2020 are selected as the training sample set and discretized, and a direct data model suitable for classification analysis is designed. ID3 algorithm is employed to classify and analyze the sampled data set, and the classification rules are extracted. Using the prediction conclusions of these classification rules, physical examination doctors can quickly and scientifically predict the possibility of chronic diseases of each university teacher. It can provide information technology support for the screening and prediction of chronic diseases and personalized intervention of chronic diseases.