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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Detalles Bibliográficos
Autores principales: Yasir, Muhammad, Karim, Asad Mustafa, Malik, Sumera Kausar, Bajaffer, Amal A., Azhar, Esam I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686960/
https://www.ncbi.nlm.nih.gov/pubmed/36421237
http://dx.doi.org/10.3390/antibiotics11111593

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