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References from The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance. Local targets link to admitted publications; unresolved targets remain external evidence.
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Enhancing predictions of antimicrobial resistance of pathogens by expanding the potential resistance gene repertoire using a pan-genome-based feature selection approach
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Prediction of acquired antimicrobial resistance for multiple bacterial species using neural networks
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Predicting antibiotic resistance in ICUs patients by applying machine learning in Vietnam
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