Analysis of Hypertension Early Warning Model Based on Classification of Blood Pressure

There are about 160 million Chinese residents who are suffering from chronic hypertension, which requires a large number of medical personnel to provide monitoring and management services to these patients and potential patients. In order to improve the efficiency of management, this study proposes the Hypertension Early Warning Model based on Classification of Blood Pressure. We utilize blood pressure data and other risk factors to construct a decision tree to determine whether patients need early warning. The results indicate that this model is effective in managing high blood pressure patients, while significantly reducing the workload of healthcare providers.