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: Muhammad Yasir (Autor), Asad Mustafa Karim (Autor), Sumera Kausar Malik (Autor), Amal A. Bajaffer (Autor), Esam I. Azhar (Autor)
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Publicado: MDPI AG, 2022-11-01T00:00:00Z.
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