Evidence Based Cost Effective Diagnosis for Pediatric Cardiac Disease: A Machine Learning & Data Mining Approach

PI’s: Hongyuan Zha


Explore machine learning and data mining methodologies to develop best practices for select pediatric cardiology diagnoses. The emphasis is on systematic exploration of historical clinical/claims data in order to develop cost-effective approaches for high quality clinical decision-making, and adaptive cost-effective methods for patient attribute acquisition.