Prediction of Acquired Antimicrobial Resistance for Multiple Bacterial Species Using Neural Networks

ABSTRACT Machine learning has proven to be a powerful method to predict antimicrobial resistance (AMR) without using prior knowledge for selected bacterial species-antimicrobial combinations. To date, only species-specific machine learning models have been developed, and to the best of our knowledge...

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Autores principales: D. Aytan-Aktug, P. T. L. C. Clausen, V. Bortolaia, F. M. Aarestrup, O. Lund
Formato: article
Lenguaje:EN
Publicado: American Society for Microbiology 2020
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AMR
Acceso en línea:https://doaj.org/article/33bc4ac6ab3a4460b35230d1ea2847e2
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