Patient Similarity Learning for Personalized Medicine

Comparing and measuring similarities between patients is an important basic step for
many data mining and machine learning algorithms. In this talk, I will discuss how both linear
and nonlinear metric learning can be approached to capture various important relationships
among patients for personalized medicine. I will show how similarity metric learning can be
applied to uncertainty and ordinal data.