HDR UK Site
Using our machine learning approach for antimicrobial prediction as a test case, we will use theoretical and numerical methods to investigate mechanisms of failure, which has wider implications for the use of AI in public health.
- Develop a basic framework to assess the accuracy of AI predictions.
- Present findings in a user-friendly manner to aid the inclusion of AI predictions in public-health/medicine.
- Test the approach on a small focus group.
Expand the methodology to other settings (requires additional data).
Project Team / Collaborators
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...