Health Big Data Analysis Based on Visualization and Prediction Techniques

With the expansion of population and the increase of infectious diseases, more and more attention has been paid to the investment in public health. In the context of big data, the medical industry has produced a large amount of structured and unstructured data, which is difficult to directly serve the public health field. Visualization technology conveys and communicates information clearly, quickly and effectively with the help of graphical means. At the same time, it can also assist users to make corresponding judgments and better understand the value behind the data. Therefore, this paper uses web crawler technology to collect public health information of microblog as experimental data, uses visualization technology to sort out and analyze the data, shows the real valuable data, and completes the establishment of public health infectious disease prediction model. Finally, it puts forward countermeasures and suggestions for the development of public health, so as to improve the ability of public health managers to detect early warning signals of infectious diseases, to track and respond to the epidemic situation of infectious diseases, to manage the large-scale outbreak of infectious diseases, and to complete the reasonable allocation of health and medical and health resources.