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机器学习用于在重症监护室 (ICU) 患者中早期预测败血症

Abdullah Alanazi1,2, Lujain Aldakhil1,2, Mohammed Aldhoayan1,2

  • 1Department of Health Informatics, College of Public Health and Health Informatics, King Saud Ibn Abdulaziz University for Health Sciences, Riyadh 11481, Saudi Arabia.

Medicina (Kaunas, Lithuania)
|July 29, 2023
PubMed
概括

早期发现败血症至关重要. 这项研究使用了机器学习对ICU患者数据的研究,发现时间,乳酸和温度是生存分析模型的关键预测因素.

关键词:
混矩阵是一个混矩阵.数据挖掘算法 数据挖掘算法重症监护病房的重症监护病房是一个重症监护病房.机器学习是机器学习.模型 模型 模型 模型业绩表现表现的表现表现是什么预测 预测 预测 预测这是一种血症.生存分析,生存分析.

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