Research on the Construction of College Students' Health Early Warning Monitoring Model in the Era of Big Data

Abstract:
In the era of big data, it is more important to build a college student health monitoring and early warning model. On the one hand because the health early warning monitoring model can use big data to find the development trend and health trend of physical sign data. On the other hand, when it is necessary to judge a new college student's health status, you can find the corresponding matching status equivalence class, and use the easy to judge status to judge (disease and development trend status), so as to give early warning and suggestions. Building a health early warning monitoring model is one of the important ways for us to return to the nature of health and achieve healthy growth. This article is constructed from the following aspects: obesity analysis, fat analysis, body type judgment, muscle analysis, segment analysis, edema analysis. The construction of the health early warning monitoring model enables each machine of the body to monitor and warn in real time, maintain the balanced development of various indicators of the body, and help college students master their own functional state, thus improving their health level.