Life cycle dynamic health management system based on traditional Chinese medicine genetics and data mining

In order to strengthen the detection and prevention of diseases in the middle-aged and elderly people, a set of prevention and control system based on personal information and physical examination results was developed. The system adopts data mining technology to provide information means for the health management of the middle-aged and the elderly in the community traditional Chinese medicine hospitals. Through the computer simulation of independent analysis technology, different individuals will issue health assessment reports and intervention plans at different times. Through the decision tree method, we can judge the value types of the existing patients, so as to improve the management level of the hospitals. It is difficult to realize in-depth statistical analysis of the genetics data by manual way, and cannot provide sufficient data basis for medical research. In order to solve this series of problems, this paper establishes a more standardized and scientific medical information management system based on genetics data mining. Through the data mining module, we can stored the massive data in the data warehouse and get the knowledge of the patients' living habits, health status and the trend of disease development. The life cycle dynamic health management system for middle-aged and elderly people was established to grasp the epidemic trend and characteristics of disease spectrum. It provides a scientific basis for the planning and decision-making of health care for the community.