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Machine learning to combat AMR through the integrated analysis of VetCompass and laboratory data
Investigator(s): Prof David Brodbelt (RVC), Prof Yonghong Peng (Manchester Metropolitan University), Mr Noel Kennedy (RVC), Dr Dan O’Neill (RVC), Dr Collette Taylor (RVC), Prof David Church (RVC) and Dr Sam Clifford (LSHTM)
Amount Awarded: £30,000

Aims: To develop data linkage machine learning methodology for external laboratory data linkage to pseudo-anonymised clinical records.

Objectives:

  1. Link APHA and IDEXX laboratory testing for canine leptospirosis to pseudo-anonymised VetCompass electronic patient records
  2. Evaluate machine learning process performance for data linkage.