Using Information Entropy to Monitor Chief Complaint Characteristics and Quality
PDF
HTML

How to Cite

Grannis, S., Dixon, B., Xia, Y., & Wu, J. (2013). Using Information Entropy to Monitor Chief Complaint Characteristics and Quality. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4543

Abstract

As we enter the 'big medical data' era, a new core competency is to continuously monitor quality of data collected from electronic sources, including population surveillance data sources. We describe how entropy, a fundamental information measure, can help monitor the characteristics of chief complaints in an operational surveillance system.
https://doi.org/10.5210/ojphi.v5i1.4543
PDF
HTML
Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes. Share-alike: when posting copies or adaptations of the work, release the work under the same license as the original. For any other use of articles, please contact the copyright owner. The journal/publisher is not responsible for subsequent uses of the work, including uses infringing the above license. It is the author's responsibility to bring an infringement action if so desired by the author.