Analysis and design of epidemic disease monitoring cloud platform

The main research content of this paper is a monitoring platform for cardiovascular epidemic diseases. It is mainly aimed at the people who have been diagnosed with cardiovascular diseases, provide them with daily monitoring in their daily life, timely help patients find the disease, and timely adjust their lifestyle such as diet and sleep, so as to achieve the effect of disease control and prevention. The platform is realized by using big data analysis, cloud computing, machine learning and other technologies. This paper will introduce the requirements analysis of the system, including the system design, including the design of core algorithms, hoping to provide timely disease monitoring services for patients with cardiovascular epidemics through the use of information technology.