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

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, the inc...

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Detalles Bibliográficos
Autores principales: Aytan-Aktug, D., Clausen, P. T. L. C., Bortolaia, V., Aarestrup, F. M., Lund, O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977075/
https://www.ncbi.nlm.nih.gov/pubmed/31964771
http://dx.doi.org/10.1128/mSystems.00774-19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977075/
https://www.ncbi.nlm.nih.gov/pubmed/31964771
http://dx.doi.org/10.1128/mSystems.00774-19

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