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一种机器学习方法用于预测内出血患者的急性损伤

Bo Liu1, Di Wu1, Yong'An Jiang2

  • 1Department of Neurosurgery, Second People's Hospital of Hunan Province, Changsha, Hunan, P. R. China.

Cell biochemistry and biophysics
|May 21, 2025
PubMed
概括

机器学习模型可以准确预测脑内出血患者的急性损伤 (AKI). 这些工具有助于临床医生进行早期干预,以获得更好的患者结果.

关键词:
内出血 内出血这是一个MIMIC-IV数据库.急性脏损伤急性脏损伤机器学习是机器学习.模型模型模型模型模型模型

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