Prediction of genome-wide imipenem resistance features in <i>Klebsiella pneumoniae</i> using machine learning.

Li, Shanshan; Wu, Jun; Ma, Nan; Liu, Wenjia; Shao, Mengjie; Ying, Nanjiao; Zhu, Lei

Prediction of genome-wide imipenem resistance features in Klebsiella pneumoniae using machine learning.

Li, Shanshan; Wu, Jun; Ma, Nan; Liu, Wenjia; Shao, Mengjie; Ying, Nanjiao; Zhu, Lei.

Afiliação

Li S; College of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, PR China.
Wu J; Lin'an Center for Disease Control and Prevention, Lin'an, 311300, PR China.
Ma N; College of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, PR China.
Liu W; College of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, PR China.
Shao M; College of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou 310018, PR China.
Ying N; College of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, PR China.
Zhu L; College of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, PR China.

J Med Microbiol ; 72(2)2023 Feb.

Article em En | MEDLINE | ID: mdl-36753438

Assuntos

Imipenem; Klebsiella pneumoniae; Antibacterianos/farmacologia; beta-Lactamases/genética; Imipenem/farmacologia; Klebsiella pneumoniae/efeitos dos fármacos; Klebsiella pneumoniae/genética; Testes de Sensibilidade Microbiana; Reação em Cadeia da Polimerase/métodos; Farmacorresistência Bacteriana/genética

Palavras-chave

Klebsiella pneumoniae; antibiotic resistance gene; carbapenem; imipenem; k-mer feature; machine learning

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imipenem / Klebsiella pneumoniae Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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