Outputs (3)

Evaluating ChatGPT text mining of clinical records for companion animal obesity monitoring (2023)
Journal Article
Fins, I. S., Davies, H., Farrell, S., Torres, J. R., Pinchbeck, G., Radford, A. D., & Noble, P. (2024). Evaluating ChatGPT text mining of clinical records for companion animal obesity monitoring. Veterinary Record, 194(3), Article e3669. https://doi.org/10.1002/vetr.3669

Background: Veterinary clinical narratives remain a largely untapped resource for addressing complex diseases. Here we compare the ability of a large language model (ChatGPT) and a previously developed regular expression (RegexT) to identify overweig... Read More about Evaluating ChatGPT text mining of clinical records for companion animal obesity monitoring.

A multinational survey of companion animal veterinary clinicians: How can antimicrobial stewardship guidelines be optimised for the target stakeholder? (2023)
Journal Article
Farrell, S., Bagcigil, A. F., Chaintoutis, S. C., Firth, C., Aydin, F. G., Hare, C., …Allerton, F. (2023). A multinational survey of companion animal veterinary clinicians: How can antimicrobial stewardship guidelines be optimised for the target stakeholder?. The Veterinary Journal, Article 106045. https://doi.org/10.1016/j.tvjl.2023.106045

Antimicrobial stewardship initiatives are widely regarded as a cornerstone for ameliorating the global health impact of antimicrobial resistance. Within companion animal health, such efforts have largely focused on development and dissemination of an... Read More about A multinational survey of companion animal veterinary clinicians: How can antimicrobial stewardship guidelines be optimised for the target stakeholder?.

PetBERT: automated ICD-11 syndromic disease coding for outbreak detection in first opinion veterinary electronic health records (2023)
Journal Article
Farrell, S., Appleton, C., Noble, P. M., & Al Moubayed, N. (2023). PetBERT: automated ICD-11 syndromic disease coding for outbreak detection in first opinion veterinary electronic health records. Scientific Reports, 13(1), Article 18015. https://doi.org/10.1038/s41598-023-45155-7

Effective public health surveillance requires consistent monitoring of disease signals such that researchers and decision-makers can react dynamically to changes in disease occurrence. However, whilst surveillance initiatives exist in production anim... Read More about PetBERT: automated ICD-11 syndromic disease coding for outbreak detection in first opinion veterinary electronic health records.