Discovery of the Regional Disease Distribution Based on Social Computing

Studies have found that more and more diseases have some regional characteristics because of the effects of several factors such as people´s living habits and nature environment. Concerning that these regional diseases haven´t received enough attention at the initial stage of their discoveries, and the limitations of lack of research data about regional diseases shall be remedied. The paper intends to not only figure out the relevant distribution of regional diseases by applying the method of social computing network integration but also to analyze the distribution features by the radial basis function. In this way can the distribution data of the similar regional diseases be learned or even the distribution and development trend of diseases be predicted or judged, and also the data can complement the limitations of lack medical investigation.