Class Central Tips
Large
amounts of heterogeneous medical data have become available in various
healthcare organizations (payers, providers, pharmaceuticals). Those data could
be an enabling resource for deriving insights for improving care delivery and
reducing waste. The enormity and complexity of these datasets present great
challenges in analyses and subsequent applications to a practical clinical
environment. In this course, we introduce the characteristics and related
analytic challenges on dealing with clinical data from electronic health
records. Many of those insights come from medical informatics community and
data mining/machine learning community. There are three thrusts in this course:
Application, Algorithm and System
