ICPCview: visualizing the International Classification of Primary Care

This paper proposes a method to visualize the semantic content of data bases where the medical information is coded with the International Classification of Primary Care. The main idea is the identification of a pixel with a code and the conversion of all the data associated with these into an image the ICPCview. The method proceeds in two step, defining the reference frame and using this reference frame to visualize data. The reference frame is built by using a sign/diagnosis binary criterion, a seventeen category nosological criterion and an age ordinal criterion. The results are visualization of the signs and diagnosis of the ICPC according to gender, age and time period of the year. A limitation of the method lies in the fact that the result depends on the chosen reference frame. Further work has to be done with various reference frames and data. However the main point is that, when both the reference set of the image and of the mind of the user are built, the method is powerful at extracting the hidden content of a very large amount of data.