Data-driven models to extract knowledge from electronic health records

The generalization and implementation of the electronic health record (EHR) has generated large amounts of clinical data. EHR contains valuable information on clinical observations describing both the health of patients and the care provided by clinical experts.The aim of this talk is to delve into the design and adaptation of machine learning and visualization methods to discover clinically relevant patterns from data collected in the electronic health record.