Using random forest to predict antimicrobial minimum inhibitory concentrations of nontyphoidal Salmonella in Taiwan

Using random forest to predict antimicrobial minimum inhibitory concentrations of nontyphoidal Salmonella in Taiwan

Abstract Antimicrobial resistance (AMR) is a global health issue and surveillance of AMR can be useful for understanding AMR trends and planning intervention strategies. Salmonella, widely distributed in food-producing animals, has been considered the first priority for inclusion in the AMR surveill...

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Bibliographic Details
Main Authors: Chia-Chi Wang, Yu-Ting Hung, Che-Yu Chou, Shih-Ling Hsuan, Zeng-Weng Chen, Pei-Yu Chang, Tong-Rong Jan, Chun-Wei Tung
Format: Article
Language:English
Published: BMC 2023-02-01
Series:Veterinary Research
Subjects:
Antimicrobial resistance
Salmonella
minimum inhibitory concentrations
machine learning
k-mer
whole-genome sequencing
Online Access:https://doi.org/10.1186/s13567-023-01141-5

Internet

https://doi.org/10.1186/s13567-023-01141-5

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