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Updated: May 20, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

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用AI驱动的模型预测VA-ECMO患者的死亡风险:一个多中心队列研究

Shuai Wang1, Sichen Tao2, Ying Zhu1

  • 1Department of Critical Care, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, 310006, China.

Scientific reports
|March 26, 2025
PubMed
概括

这项研究开发了一种人工智能模型,用于预测静脉动脉外体膜氧化 (VA-ECMO) 断奶的患者的28天死亡风险. 该eCMoML模型显示出高准确性和通用性,有助于临床决策,以获得更好的患者结果.

关键词:
医疗人工智能的人工智能医疗机器学习模型预测死亡率风险的预测.这就是VA-ECMO.

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