You are all cordially invited to the next AMLab colloquium next Tuesday, September 29 at 16:00 in C3.163, where Elena Sokolova from the Intelligent Systems group at Radboud University will give a talk about “Causal discovery from medical data”. Afterwards we will have the usual drinks and snacks!
Title: Causal discovery from medical data
Speaker: Elena Sokolova
Abstract: The standard methods for data analysis of medical data involve statistical tests that tell whether the difference in means between two populations is statistically significant. These methods are easy to use, but are
restricted in the types of questions they can answer. Alternative approach to analyse medical data is causal discovery. It provides an opportunity to learn the causes and effects from data and it detects whether the dependency between variables is direct or mediated through other variables. In this talk I will present the challenges that one can face building a causal network from medical data and some interesting results that we inferred from this analysis that were not possible to obtain using standard statistical tests.