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
Findings from health data research highlight opportunities for better healthcare planning and clinical management for patients with multimorbidity
1 December 2022
A population-study, enabled by Health Data Research UK (HDR UK) and part-funded by the British Heart Foundation Data Science Centre, provides the data and resources to help improve health and care...
HDR UK Applied Analytics Seminar led by Nicholas Mills and Dorien Kimenai
9 November 2022 at 2:00 pm
Novel insights on the diagnosis and prognosis of patients with suspected myocardial infarction in practice using High-STEACS trial and routinely collected health care data.
Generating research-ready, actionable, real-time and large-scale insights
29 September 2022 at 3:00 pm
Professor Richard Dobson will present on Generating research-ready, actionable, real-time and large-scale insights from routinely collected, unstructured (e.g. letters, notes, reports) as well...