All Outputs (2)

Machine learning classification methods informing the management of inconclusive reactors at bovine tuberculosis surveillance tests in England (2021)
Journal Article
Romero, M. P., Chang, Y.-M., Brunton, L. A., Parry, J., Prosser, A., Upton, P., & Drewe, J. A. (2021). Machine learning classification methods informing the management of inconclusive reactors at bovine tuberculosis surveillance tests in England. Preventive Veterinary Medicine,

Bovine tuberculosis (bTB) remains one of the most complex, challenging, and costly animal health problems in England. Identifying and promptly removing all infected cattle from affected herds is key to its eradication strategy; the imperfect sensitiv... Read More about Machine learning classification methods informing the management of inconclusive reactors at bovine tuberculosis surveillance tests in England.

A comparison of the value of two machine learning predictive models to support bovine tuberculosis disease control in England (2021)
Journal Article
Romero, M. P., Pilar Romero, M., Chang, Y.-M., Brunton, L. A., Prosser, A., Upton, P., Rees, E., Tearne, O., Arnold, M., Stevens, K., & Drewe, J. A. (2021). A comparison of the value of two machine learning predictive models to support bovine tuberculosis disease control in England. Preventive Veterinary Medicine,

Nearly a decade into Defra’s current eradication strategy (Defra, 2014, 2011), bovine tuberculosis (bTB) remains a serious animal health problem in England, with c.30,000 cattle slaughtered annually in the fight against this insidious disease. There... Read More about A comparison of the value of two machine learning predictive models to support bovine tuberculosis disease control in England.