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Updated: Jun 20, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Published on: May 15, 2020

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ICURE:重症监护室 (ICU) 对30天死亡率的风险评估. 开发和评估一个多变量机器学习预测模型,用于瑞典一般ICU的患者

Tobias Siöland1,2, Araz Rawshani3,4,5, Bengt Nellgård1,2

  • 1Department of Anesthesiology and Intensive Care Medicine, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Acta anaesthesiologica Scandinavica
|July 22, 2024
PubMed
概括

一个新的机器学习模型ICURE准确地预测了30天的重症监护室 (ICU) 死亡率. 该模型的性能优于传统的SAPS 3评分,为ICU患者的风险评估提供了更高的准确性.

关键词:
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.预测模型 预测模型

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