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

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作者： Shanshan,Li ^[1] ; Jun,Wu ^[2] ; Nan,Ma ^[1] ; Wenjia,Liu ^[1] ; Mengjie,Shao ^[3] ; Nanjiao,Ying ^[1] ; Lei,Zhu ^[1]

作者单位： College of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, PR China. ^[1] Lin'an Center for Disease Control and Prevention, Lin'an, 311300, PR China. ^[2] College of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou 310018, PR China. ^[3] Institute of Biomedical Engineering and Instrument, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, PR China. ^[4]

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

主题词抗菌药(Anti-Bacterial Agents);β-内酰胺酶类(beta-Lactamases);亚胺培南(Imipenem);肺炎克雷伯菌(Klebsiella pneumoniae);微生物敏感性试验(Microbial Sensitivity Tests);聚合酶链反应(Polymerase Chain Reaction);抗药性, 细菌(Drug Resistance, Bacterial)

DOI 10.1099/jmm.0.001657

PMID 36753438

发布时间 2023-02-13

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