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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Detalles Bibliográficos

Principais autores:	D. Aytan-Aktug, P. T. L. C. Clausen, V. Bortolaia, F. M. Aarestrup, O. Lund
Formato:	Artigo
Idioma:	Inglês
Publicado:	American Society for Microbiology 2020-02-01
Series:	mSystems
Assuntos:	AMR antimicrobial resistance machine learning neural networks
Acceso en liña:	https://journals.asm.org/doi/10.1128/mSystems.00774-19
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