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Updated: Jun 10, 2025

Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes
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使用机器学习预测未来医院抗菌素耐药性的流行情况

Karina-Doris Vihta1,2,3, Emma Pritchard4,5, Koen B Pouwels5,6

  • 1Modernising Medical Microbiology, Experimental Medicine, Nuffield Department of Medicine, Level 7 Research Offices, John Radcliffe Hospital, Headley Way, University of Oxford, Oxford, UK. karina.vihta@gmail.com.

Communications medicine
|October 10, 2024
PubMed
概括

机器学习模型在全国范围内预测抗菌素耐药性 (AMR). 极端梯度增强 (XGBoost) 模型显示出卓越的性能,特别是在具有显著抗药性变化的医院中,有助于针对性干预.

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