Conventional and unsupervised artificial intelligence analyses identified risk factors for antimicrobial resistance on dairy farms in the province of Québec, Canada-Reference-Cited by-同舟云学术

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Conventional and unsupervised artificial intelligence analyses identified risk factors for antimicrobial resistance on dairy farms in the province of Québec, Canada

Published:2024-08 Issue: Volume: Page:
ISSN:0022-0302
Container-title:Journal of Dairy Science
language:en
Short-container-title:Journal of Dairy Science

Author:

Massé Jonathan^ORCID,Lardé Hélène^ORCID,Archambault Marie^ORCID,Francoz David^ORCID,Roy Jean-Philippe^ORCID,Donoso Pablo Valdes^ORCID,Dufour Simon^ORCID

Publisher

American Dairy Science Association

Reference34 articles.

1. Gentamicin- and Ciprofloxacin-Resistant Enterobacteriaceae in Cattle Farms in Israel: Risk Factors for Carriage and the Effect of Microbiological Methodology on the Measured Prevalence;Adler;Microb. Drug Resist.,2017

2. Prevalence and antimicrobial resistance patterns of Salmonella enterica in preweaned calves from dairies and calf ranches;Berge;Am. J. Vet. Res.,2006

3. Perfomance standards for antimicrobial susceptibility testing. 31st ed. in CLSI supplement M100;Clinical and Laboratory Standards Institute (CLSI),2021

4. National Antimicrobial Resistance monitoring surveillance, NARMS now: integrated data;Food and Drug Administration (FDA),2024

5. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) Annual Report;Government of Canada,2022

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