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Updated: Jul 11, 2025

Tools for the Real-Time Assessment of a Pseudomonas aeruginosa Infection Model
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Tools for the Real-Time Assessment of a Pseudomonas aeruginosa Infection Model

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在Pseudomonas aeruginosa中快速AMR预测,将MALDI-TOF MS与DNN模型结合起来

Jiaojiao Fu1,2, Fangting He3, Jinming Xiao4

  • 1College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, P. R. China.

Journal of applied microbiology
|November 6, 2023
PubMed
概括

这项研究开发了一个深度学习模型,使用MALDI-TOF MS数据快速预测Pseudomonas aeruginosa的抗菌素耐药性 (AMR). 该工具准确地识别了对关键抗生素的耐药性,有助于临床决策.

关键词:
伪omonas aeruginosa 这种类型的病毒.马尔迪托夫-MS 的在SMOTEENNN中,我们可以看到SMOTEENN.抗生素耐药性 抗生素耐药性深度神经网络是一个神经网络.随机的森林随机的森林

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