Conference Proceedings
Domain adaptation and instance selection for disease syndrome classification over veterinary clinical notes
B Hur, T Baldwin, K Verspoor, L Hardefeldt, J Gilkerson
Proceedings of the Annual Meeting of the Association for Computational Linguistics | ASSOC COMPUTATIONAL LINGUISTICS-ACL | Published : 2020
Abstract
Identifying the reasons for antibiotic administration in veterinary records is a critical component of understanding antimicrobial usage patterns. This informs antimicrobial stewardship programs designed to fight antimicrobial resistance, a major health crisis affecting both humans and animals in which veterinarians have an important role to play. We propose a document classification approach to determine the reason for administration of a given drug, with particular focus on domain adaptation from one drug to another, and instance selection to minimize annotation effort
Grants
Awarded by Australian Government
Funding Acknowledgements
This research was undertaken with the assistance of information and other resources from the VetCompass Australia consortium under the project "VetCompass Australia: Big Data and Realtime Surveillance for Veterinary Science", which is supported by the Australian Government through the Australian Research Council LIEF scheme (LE160100026).