Analysis on meteorological conditions and health factors based on C4.5 algorithm

Medical Meteorology is a rising Boundary Science. It is the study of atmospheric impact on physical, chemical and biological conditions of human bodies for treatments of disease and services of health care. This paper analyzes current situation in the field of medical meteorology and discusses the performance and the characteristic of Decision Tree algorithm on medical meteorology prediction based on existing forecasting algorithm. This paper also builds models according to weather elements to predict the incidence of the day, and further validations will test the accuracy of the predictions from the model. Advantages and disadvantages will also be then analyzed. Finally, strengths and weaknesses of other data mining algorithm are discussed based on the problems of Decision Tree Algorithm.