CRACS Seminar by David Page

26 April 2012

Prof. David Page, from University of Wisconsin-Madison, USA, will give a talk at CRACS/INESCTEC and DCC/FCUP on Using Machine Learning to Build Predictive Models with Potential Clinical Impact.

The goal of personalized medicine is to use an individual's clinical history and genetics to make more appropriate decisions regarding disease treatment and prevention in that person. Therefore, accurate predictive models for disease and treatment response based on clinical history and/or genetics can play a key role in personalized medicine. With the growing use of electronic health records (EHRs) and inexpensive genotyping, data are becoming available from which to build these models. This talk presents several case studies in the construction of such predictive models from clinical and genetic data. The talk will highlight lessons from these case studies for machine learning researchers interested in engaging in this field.