Disease Prevalence Planning

About

Problem
Every disease generates data that can help better understand it and determine what treatments would be best suited to deal with it. The data itself, however, isn’t structured. It often needs cleaning, enrichment, and a few good visualizations to get to the most worthwhile insights. Our client, a life science company, understood this and contacted us to see how best to utilize their data and plan for a disease’s pervasiveness.

Solution
With our model, the client was able to answer questions like how many people get sick in different age groups, how many of them are treated or don’t make it, what trials are conducted in the specific area of research, and so on. By monitoring the overall spread of the disease, they could easily find out the frequency of new patients developing the disease and the mortality rate of the affected. They could also finally break down the data for further inspection by age groups, diagnosed vs. undiagnosed, disease research progress, etc.