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...
Guardado en:
Autores principales: | , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
American Society for Microbiology
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/33bc4ac6ab3a4460b35230d1ea2847e2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|