| Literature DB >> 20442191 |
Vasa Curcin1, Alex Bottle, Mariam Molokhia, Christopher Millett, Azeem Majeed.
Abstract
We describe the challenges of conducting studies based on mining large-scale primary care databases, namely data integration, data set definition, result reproducibility and reusability. These correspond to higher-level informatics challenges of automation, provenance capture and component integration. We provide a high-level view of the informatics infrastructure that addresses these challenges through a generic workflow-based e-Science middleware, and describe our experiences using the system to investigate differences in the health status of patients with diabetes before and after the national introduction of the UK GP contract in 2004.Entities:
Mesh:
Year: 2010 PMID: 20442191 DOI: 10.1177/0962280209359880
Source DB: PubMed Journal: Stat Methods Med Res ISSN: 0962-2802 Impact factor: 3.021