Abstract
We will review multiple ways of acquiring healthcare data and the machine learning methods which are currently being used for analysis. These include: 1) Disease trends and other predictions from electronic health record (EHR) data 2) Mobile apps and devices for improving the granularity of recorded health data and 3) The combination of mobile app and social network information. Current work in these areas will be presented and the future of machine learning contributions to the field will be discussed.