Affiliation:
1. University of North Carolina at Chapel Hill
Abstract
Various decisions concerning the management, display, and diagnostic use of electronic health records (EHR) data can be automated using machine learning (ML). We describe how ML is currently applied to EHR data and how it may be applied in the near future. Both benefits and shortcomings of ML are considered.
Publisher
North Carolina Institute of Medicine