The Data Analyses and Modeling of Cardiovascular Disease

We analyzed the relationships between risk fluctuations and time of acute cardiovascular events (including stroke, cardiac, heart failure, and so on) and the distribution of risk warning factors for patients with hypertension and diabetes based on the social health follow-up visits, medical records and medical tests information by building a comprehensive risk prediction model, which could be the basic for making intervention plans.

      The incidence of acute cardiovascular events changes mildly with the duration of hypertension (65% patients with hypertension will have lifelong risks of coronary heart disease with 20 years accumulation).