Identification of Primary Antimicrobial Resistance Drivers in Agricultural Nontyphoidal <named-content content-type="genus-species">Salmonella enterica</named-content> Serovars by Using Machine Learning

Identification of Primary Antimicrobial Resistance Drivers in Agricultural Nontyphoidal <named-content content-type="genus-species">Salmonella enterica</named-content> Serovars by Using Machine Learning

ABSTRACT Nontyphoidal Salmonella (NTS) is a leading global cause of bacterial foodborne morbidity and mortality. Our ability to treat severe NTS infections has been impaired by increasing antimicrobial resistance (AMR). To understand and mitigate the global health crisis AMR represents, we need to l...

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Autores principales: Finlay Maguire, Muhammad Attiq Rehman, Catherine Carrillo, Moussa S. Diarra, Robert G. Beiko
Formato: article
Lenguaje:EN
Publicado: American Society for Microbiology 2019
Materias:
AMR prediction
Salmonella
antimicrobial resistance
food chain
genomics
machine learning
Microbiology
QR1-502
Acceso en línea:https://doaj.org/article/8456ed197a2849f58f9807238761e6ec
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