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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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
American Society for Microbiology
2020
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/33bc4ac6ab3a4460b35230d1ea2847e2 |
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