Output details
11 - Computer Science and Informatics
University of East Anglia
Article title
Performance of the ASSIGN cardiovascular disease risk score on a UK cohort of patients from general practice
Type
D - Journal article
Title of journal
Heart
Article number
-
Volume number
97
Issue number
6
First page of article
491
ISSN of journal
1355-6037
Year of publication
2010
URL
-
Number of additional authors
4
Additional information
<15> This work informed the National Institute for Health and Care Excellence (NICE) on the model of choice for the clinical assessment of Cardiovascular Disease for lipid modification (see the editorial by Tunstall-Pedoe in the same journal issue). We assess models in a dataset of over one million records and show that the ASSIGN risk score is as powerful in its discrimination as other models. From a computing perspective, our contribution is to show how a large primary care dataset that has a significant amount of missing data can be exploited for clinical studies.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
15
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
