@inproceedings{hur-etal-2020-domain,
title = "Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes",
author = "Hur, Brian and
Baldwin, Timothy and
Verspoor, Karin and
Hardefeldt, Laura and
Gilkerson, James",
editor = "Demner-Fushman, Dina and
Cohen, Kevin Bretonnel and
Ananiadou, Sophia and
Tsujii, Junichi",
booktitle = "Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.bionlp-1.17",
doi = "10.18653/v1/2020.bionlp-1.17",
pages = "156--166",
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.",
}
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%0 Conference Proceedings
%T Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes
%A Hur, Brian
%A Baldwin, Timothy
%A Verspoor, Karin
%A Hardefeldt, Laura
%A Gilkerson, James
%Y Demner-Fushman, Dina
%Y Cohen, Kevin Bretonnel
%Y Ananiadou, Sophia
%Y Tsujii, Junichi
%S Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F hur-etal-2020-domain
%X 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.
%R 10.18653/v1/2020.bionlp-1.17
%U https://aclanthology.org/2020.bionlp-1.17
%U https://doi.org/10.18653/v1/2020.bionlp-1.17
%P 156-166
Markdown (Informal)
[Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes](https://aclanthology.org/2020.bionlp-1.17) (Hur et al., BioNLP 2020)
ACL