Predicting Phenotypic Polymyxin Resistance in <named-content content-type="genus-species">Klebsiella pneumoniae</named-content> through Machine Learning Analysis of Genomic Data

Predicting Phenotypic Polymyxin Resistance in <named-content content-type="genus-species">Klebsiella pneumoniae</named-content> through Machine Learning Analysis of Genomic Data

ABSTRACT Polymyxins are used as treatments of last resort for Gram-negative bacterial infections. Their increased use has led to concerns about emerging polymyxin resistance (PR). Phenotypic polymyxin susceptibility testing is resource intensive and difficult to perform accurately. The complex polyg...

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Bibliographic Details
Main Authors: Nenad Macesic, Oliver J. Bear Don’t Walk, Itsik Pe’er, Nicholas P. Tatonetti, Anton Y. Peleg, Anne-Catrin Uhlemann
Format: article
Language:EN
Published: American Society for Microbiology 2020
Subjects:
genotype
phenotype
prediction
antimicrobial resistance
machine learning
Microbiology
QR1-502
Online Access:https://doaj.org/article/b206dea6959348dd85e0c18e57dc1f9e
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https://doaj.org/article/b206dea6959348dd85e0c18e57dc1f9e

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