Project Description

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.

Project Milestones

  1. Develop a basic framework to assess the accuracy of AI predictions.
  2. Present findings in a user-friendly manner to aid the inclusion of AI predictions in public-health/medicine.
  3. Test the approach on a small focus group.

Expand the methodology to other settings (requires additional data).

Project Team / Collaborators

Matt Keeling