Abstract
We established the optimal search strategy for identifying coronary heart disease (CHD) patients within the Electronic Patient Record (EPR) of 'paperless' family practices in the UK. Multiple logistic regression modelling (MLRM) and Receiver Operating Characteristic (ROC) curves were used to develop the query. The selected search strategy was validated at 2 additional paperless family practices.
Original language | English |
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Title of host publication | AMIA 2003 Symposium Proceedings |
Publisher | American Medical Informatics Association |
Pages | 1030 |
Number of pages | 1 |
Publication status | Published - 2003 |
Event | AMIA Annual Symposium 2003 - Marriott Wardman Park, Washington, United States Duration: 8 Nov 2003 → 12 Nov 2003 https://knowledge.amia.org/amia-55142-a2003a-1.616734?qr=1 |
Conference
Conference | AMIA Annual Symposium 2003 |
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Country/Territory | United States |
City | Washington |
Period | 8/11/03 → 12/11/03 |
Internet address |