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在患有严重败血症的儿科患者中,基于机器学习的时间到事件生存分析

Qianru Huang1, Li Zheng2, Ruyi Cai3

  • 1The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China.

Frontiers in pediatrics
|November 10, 2025
PubMed
概括

机器学习模型准确地预测了儿科败血症生存时间,识别了早期干预的关键生物标志物,如和RDW. 这有助于改善重症儿童的预后.

关键词:
莎普利的添加式解释机器学习是机器学习.儿科的败血症生存分析,生存分析.时间到事件的时间.

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