For this first iteration of their model, the researchers focused on the three most common types of lymphoma, a cancer of the lymph nodes with over 50 subtypes that are difficult to distinguish. Typically, patients are given a number of tests to determine things like the number of tumor cells or how many lymphoid cells express antigens, to help doctors give them the appropriate diagnosis. Using some of the hospital's archived pathology reports, the computer model was able to get a picture of the types of test results that characterized certain types of lymphoma from others. It created a complex picture for each patient, drawing in key phrases from physician comments and using the 2008 World Health Organization guidelines for lymphoma diagnosis to set the parameters. Using a sophisticated modeling system, the program was able to compile results from all these sources into a number of graphs to then suggest the most probable diagnosis.