An Intelligent Health Analysis Approach to Detecting Potential Threats with Health Data Reuse

Health care is becoming imperative in normal life because threats from several aspects could have negative influences on people's health. Along with machine learning development, some application software can be used for evaluating health level and provide health care reports for health supervising and management. However, it is rarely being used in common life for health managing and supervising. Meanwhile, most of the health data that are collected or processed can rarely be reused in any of applied systems. This paper is used for applying machine learning in health care management and supervision. The threats from circumstance could be detected by processing static data and dynamic data. Entire system is equipped with wearable equipment, such as cloth and shoes, which can be used to achieve real time supervising threats for the users. Machine learning can be used to achieve accurate calculation for the health data. Health management and threats supervision performance can be improved effectively. Distinguished subjects are combined to achieve new methods and integrated knowledge is used for achieving novel theory to support health care system establishment. Creative computing methods, knowledge combination is used for generating such integrated methods.