HDR UK Site
The aim of this project is to achieve a scalable development of synthetic datasets that maintain the statistical properties of real clinical datasets. The work will involve the investigation of deep learning methods for such synthetic data (using both numerical and categorical variables – including clinical codes) in including generative adversarial networks.
CogStack information retrieval and extraction platform gives access to underused data
27 February 2023
CogStack represents a major advance in the capacity to extract and analyse unstructured data from electronic health records (EHRs). It uses a range of technologies to support modern open-source...
Biobank conversion allows greater UK contribution to international research
21 February 2023
A team of researchers processed and converted over 1.3 billion rows of UK Biobank data to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM), improving its usability for...