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

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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Bibliographic Details
Main Authors: D. Aytan-Aktug, P. T. L. C. Clausen, V. Bortolaia, F. M. Aarestrup, O. Lund
Format: Article
Language:English
Published: American Society for Microbiology 2020-02-01
Series:mSystems
Subjects:
AMR
antimicrobial resistance
machine learning
neural networks
Online Access:https://journals.asm.org/doi/10.1128/msystems.00774-19

Internet

https://journals.asm.org/doi/10.1128/msystems.00774-19

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