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

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Description:
This is the dataset and the R scripts used for the analyses of a research article titled: "Conventional and unsupervised AI analyses identified risk factors for antimicrobial resistance on dairy farms in the province of Québec, Canada". This article is in preparation for submission for publication in Journal of Dairy Science.
Author(s):
Dufour, Simon

Dufour, Simon

Université de Montréal
0000-0001-6418-0424
, Massé, Jonathan

Massé, Jonathan

Université de Montréal
, Lardé, Hélène

Lardé, Hélène

0000-0002-8742-8303
, Archambault, Marie

Archambault, Marie

, Francoz, David

Francoz, David

0000-0002-1634-0507
, Roy, Jean-Philippe

Roy, Jean-Philippe

, and Valdes Donoso, Pablo

Valdes Donoso, Pablo

Contributor(s):
Dufour, Simon
Source Repository:
Université de Montréal Dataverse
Series:
Simon Dufour – Dataverse
Publisher(s):
Borealis
Access:
Public
URL:
https://doi.org/10.5683/SP3/T8JRW0
Publication date:
2023-10-13
Subjects:
Medicine, Health and Life Sciences, Agricultural Sciences
Keywords:
Dairy cattle, Antimicrobial usage, and Antimicrobial resistance
Identifier:
https://doi.org/10.5683/SP3/T8JRW0

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Citation

APA Citation:
Dufour, S., Massé, J., Lardé, H., Archambault, M., Francoz, D., Roy, J.-P., & Valdes Donoso, P. (2023). Conventional and unsupervised AI analyses identified risk factors for antimicrobial resistance on dairy farms in the province of Québec, Canada [Data set]. Université de Montréal Dataverse. https://doi.org/10.5683/SP3/T8JRW0
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