Association rule mining to identify potential under-coding of conditions in the problem list in primary care electronic medical records
Introduction The problem list of a patient’s primary care electronic medical record (EMR) generally reflects their important medical conditions. We will use association rule mining to assess between-provider and between-clinic variation in the coding of select conditions in the EMR problem list, in...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Swansea University
2018-08-01
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Series: | International Journal of Population Data Science |
Online Access: | https://ijpds.org/article/view/622 |