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Updated: Jan 30, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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基于临床指标的机器学习模型的构建和验证:在患有深度二度和三度烧伤的患者中,血液感染的风险

Min Peng1, ShaSha Zhang2, DongFang Chang1

  • 1Department of Burn and Plastic Surgery, Yongchuan Hospital Affiliated to Chongqing Medical University, Yongchuan District, Chongqing City 402160, China.

Injury
|January 28, 2026
PubMed
概括

一个新的机器学习模型准确地预测严重烧伤患者的血液感染 (BSI) 风险. 该工具使用临床数据进行早期干预,改善二度和三度烧伤深度患者的治疗结果.

关键词:
在BP神经网络中,神经网络血流感染 血流感染深度二度烧伤的伤口.机器学习 机器学习风险预测风险预测三度烧伤是三度烧伤.

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