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机器学习在揭示重症监护单位所获得的弱点方面的开创性作用

Silvano Dragonieri1

  • 1Department of Respiratory Diseases, University of Bari, Bari 70124, Italy. silvano.dragonieri@uniba.it.

World journal of clinical cases
|May 29, 2024
PubMed
概括

研究人员使用机器学习来确定重症监护室获得的弱点 (ICU-AW) 的风险因素. 这种预测模型有助于早期检测和改善重症监护机构的患者管理.

关键词:
在重症监护病房获得的弱点.跨学科合作跨学科合作机器学习 机器学习多层感知神经网络多层感知神经网络预测医学是一种预测医学.

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