The panel data predictive model for recurrence of cerebral infarction with health care data analysis

摘要

The paper has developed a predictive model for recurrence of cerebral infarction by analyzing the diagnostic data of cerebral infarction inpatient from health care system with the panel data regression method. The cerebral infarction has high morbidity, high disability and high mortality rate. It also has high relapse rates. The mortality rate of recurrent patients is much higher than its first onset. Which means the implementation of targeted prevention measures based on the prediction result may effectively reduce the mortality and invalidity. Firstly, the paper analyzes the possible factors of the cerebral infarction recurrence. Then the study builds the initial predictive model with the panel-regression method. Finally, the proposed model is validated by empirical research to show the prediction effect. The accuracy of prediction result suggests the proposed model is feasible.