Application of Decision-Tree-Based Machine Learning Algorithms for Prediction of Antimicrobial Resistance
Timely and efficacious antibiotic treatment depends on precise and quick in silico antimicrobial-resistance predictions. Limited treatment choices due to antimicrobial resistance (AMR) highlight the necessity to optimize the available diagnostics. AMR can be explicitly anticipated on the basis of ge...
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| Autores principales: | , , , , |
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| Formato: | Libro |
| Publicado: |
MDPI AG,
2022-11-01T00:00:00Z.
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| Número de Clasificación: |
A1234.567 |
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| Copia 1 | Disponible |