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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686960/ https://www.ncbi.nlm.nih.gov/pubmed/36421237 http://dx.doi.org/10.3390/antibiotics11111593 |