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Updated: Jul 30, 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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一个深度学习模型用于预测重症患者的多抗药生物体感染

Yaxi Wang1, Gang Wang1, Yuxiao Zhao1

  • 1Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, No. 16 Jiangsu Road, Qingdao, 266000, China.

Journal of intensive care
|November 8, 2023
PubMed
概括

这项研究开发了一种反向传播神经网络 (BPNN) 模型,用于预测重症监护室 (ICU) 患者的多药耐药生物体 (MDRO) 感染. BPNN模型表现良好,识别了MDRO感染的关键风险因素.

关键词:
反向传播神经网络的神经网络.在重症监护病房的重症监护病房.感染多抗药生物体的感染.

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相关概念视频

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions01:15

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).