In the second of two Q&As with R&D colleagues, SAS' Udo Sglavo provides a window into how we approach drug-development challenges with machine learning.
In the second of two Q&As with R&D colleagues, SAS' Udo Sglavo provides a window into how we approach drug-development challenges with machine learning.
Before I started with SAS, I worked at the San Bernardino County Department of Behavioral Health. Among many other projects, our analytics work included integrating data from multiple county departments and risk stratifying citizens in the greatest need of public services. This led to our 1115 Whole Person Care (WPC) waiver
Recently, I showed how to use a heat map to visualize measurements over time for a set of patients in a longitudinal study. The visualization is sometimes called a lasagna plot because it presents an alternative to the usual spaghetti plot. A reader asked whether a similar visualization can be