机器学习用于个性化的抗微生物敏感性断点

Yinzheng Zhong1, William Hope1, Iain Buchan2

  • 1Department of Clinical Pharmacology & Therapeutics, University of Liverpool, Liverpool, UK.

概括

机器学习模型可以预测尿路感染 (UTI),以个性化抗生素推. 这种方法有助于确保患者根据他们特定的感染诊断获得适当的阿米诺尼西林剂量.

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