Machine Learning and Design Thinking for Personalized Healthcare

Personalized healthcare and precision medicine are introducing novel opportunities to leverage data about an individual to deliver personalized health profiles and wellness profiles to an individual. This data includes electronic medical records, genomics, lifestyle, and environmental data. However, there are fundamental challenges from collecting such data at an individual level to integrating it to developing machine learning algorithms and tools to deliver on the promise and outcome of personalized healthcare. Our research program is focused on these challenges. I will present some of our research on developing personalized disease risk profiles from electronic medical records (EMR) and bringing together the spectrum of EMR to lifestyle data to guide a patient-centered population health management framework.

Speaker: Nitesh Chawla, Univ. of Notre Dame