Overcoming challenges in extracting prescribing habits from veterinary clinics using big data and deep learning-Reference-Cited by-同舟云学术

Overcoming challenges in extracting prescribing habits from veterinary clinics using big data and deep learning

Published:2022-01-25 Issue:5 Volume:100 Page:220-222
ISSN:0005-0423
Container-title:Australian Veterinary Journal
language:en
Short-container-title:Aust Veterinary J

Author:

Hur B¹²^ORCID,Hardefeldt LY¹^ORCID,Verspoor K²³^ORCID,Baldwin T²,Gilkerson JR¹^ORCID

Affiliation:

1. Asia‐Pacific Centre for Animal Health, Melbourne Veterinary School University of Melbourne Melbourne Victoria Australia

2. School of Computing and Information Systems University of Melbourne Melbourne Victoria Australia

3. School of Computing Technologies RMIT University Melbourne Victoria Australia

Funder

Australian Research Council

Publisher

Wiley

Subject

General Veterinary,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/avj.13145

Reference18 articles.

1. The global threat of antimicrobial resistance: science for intervention

2. DuffA KeaneS HardefeldtLY.Descriptive study of antimicrobial susceptibilty patterns from equine septic synovial structures. Proceedings of the 39th Bain Fallon Memorial Lectures. Equine Veterinarians Australia.

3. JohnstonG LumsdenJ.Antimicrobial susceptiblity of bacterial isolates from 27 thoroughbreds with arytenoid chondropathy. Proceedings of the 39th Bain Fallon Memorial Lectures. Equine Veterinarians Australia.

4. Short-term effect of antibiotic control policy on the usage patterns and cost of antimicrobials, mortality, nosocomial infection rates and antibacterial resistance

5. Global impact of an educational antimicrobial stewardship programme on prescribing practice in a tertiary hospital centre

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