Using Information Entropy to Monitor Chief Complaint Characteristics and Quality
| dc.contributor.author | Grannis, Shaun J | |
| dc.contributor.author | Dixon, Brian E. | |
| dc.contributor.author | Xia, Yuni | |
| dc.contributor.author | Wu, Jianmin | |
| dc.date.accessioned | 2014-04-24T18:09:18Z | |
| dc.date.available | 2014-04-24T18:09:18Z | |
| dc.date.issued | 2013 | |
| dc.description.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. | en_US |
| dc.identifier.citation | 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). | en_US |
| dc.identifier.uri | https://hdl.handle.net/1805/4345 | |
| dc.language.iso | en_US | en_US |
| dc.rights | Attribution-NonCommercial 3.0 United States | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/us/ | |
| dc.subject | information entropy | en_US |
| dc.subject | surveillance | en_US |
| dc.title | Using Information Entropy to Monitor Chief Complaint Characteristics and Quality | en_US |
| dc.type | Article | en_US |