Abstract
We proposed a framework for early warning of Cardiovascular diseases (CVDs) under mobile environment, which is a real-time and personalized problem involving various complex knowledge. Specially, the principles and methods for early warning are proposed, as well as the selection and collection of key indicators. The system integrates patients and families, physicians, hospitals and community clinics, which consists of two tiers. The mobile device tier could detect the abnormal situations of the patients, and the service center will discover and refine the knowledge of personal situation which could increase the effect and efficiency of CVD's early warning.
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