Retracted: Research on the Rule of Acupuncture and Moxibustion for Treatment of Obesity Based on Data Mining

At present, big data has been applied to all aspects of life, for large data research and data mining information can be greatly convenient for people's production and life. With the continuous development of domestic medical treatment, people use acupuncture technique of obesity has become possible, the in-depth study of data mining provides convenient for medical workers to provide the better service for the people. This will not only improve the quality of people's lives, but also effectively improve the people's physical condition. Data mining is a new technology which is currently in the field of computer, this paper uses the basic principle of data mining will be applied to the study of the treatment of obesity, lay a solid theoretical foundation and strong support for the successful treatment of obesity patients. Different from the previous research methods, the method based on data mining not only improves the accuracy of the treatment of disease, but also effectively shorten the time of treatment, reduce the economic consumption. This paper used the good classification performance of K-means algorithm and parallel genetic algorithm (GA) with high robustness of the comprehensive, based on a comprehensive understanding of the acupuncture treatment of obesity, building the basic framework of intelligent system. In the subsequent learning process combined with the actual situation to verify the practicality of the model, confirmed the feasibility of the model, to provide the basis and reference for the follow-up medical treatment program.