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Updated: May 6, 2026

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii
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在Klebsiella pneumoniae中优化机器学习预测最小抑制度

Gherard Batisti Biffignandi1,2,3, Leonid Chindelevitch2, Marta Corbella4

  • 1Department of Biology and Biotechnology, University of Pavia, Pavia, Italy.

Microbial genomics
|March 26, 2024
PubMed
概括

使用基因组测序和机器学习预测抗生素耐药性需要仔细处理最小抑制度 (MIC) 数据. 在Klebsiella pneumoniae中抗生素耐药性的最佳预测准确性取决于MIC是否被视为连续 (回归) 或分类 (分类) 数据.

关键词:
抗菌药物反症 (AMR) 是一种在GWAS中,GWAS就是GWAS.克莱布西拉肺炎是一种肺炎.在MIC中,MIC是MIC,MIC是MIC.抗生素耐药性 抗生素耐药性细菌基因组学是一种细菌基因组学.机器学习是机器学习.

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