semantic_scholarResearch in Veterinary Science2026-08-01
A systematic review of machine learning approaches to bovine tuberculosis in cattle.
Kacper Borodziuk, Adele H. Marshall, M. O'Hagan, Aleksandar Novakovic, E. Courcier
TL;DR: A systematic review of existing published research utilising ML with bTB datasets oriented directly or indirectly around the identification of infected animals or infected herds demonstrates the need for specific reporting guidelines for ML in veterinary epidemiology to maximise the potential of these methods.
Bovine tuberculosis (bTB) is a chronic zoonotic disease, caused by Mycobacterium bovis which despite years of eradication attempts, is still prevalent globally. Machine learning (ML), a technology allowing for computerised discovery of patterns in data, has been applied widely to…