Comments on Contemporary Uses of Machine Learning for Electronic Health Records
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.
Authors
- Jordan Bryan (ORCID: https://orcid.org/0000-0002-4984-0516)
- Didong Li (ORCID: https://orcid.org/0000-0001-9146-705X)
Institutions
- University of North Carolina at Chapel Hill (US)
Publication Details
- Journal
- UNC Libraries
- Published
- 2024-10-05
- DOI
- https://doi.org/10.17615/p5kp-tw66
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00