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Updated: Jan 10, 2026

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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释放实时ICU死亡率预测的潜力:通过持续数据恢复重新定义风险评估

Puguang Xie1,2, Yu Hu2, Jiao Li3

  • 1Chongqing Key Laboratory of Emergency Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, China.

NPJ digital medicine
|November 29, 2025
PubMed
概括

实时重症监护室 (ICU) 死亡率预测得到了RealMIP的改进,RealMIP是一个新的框架,使用生成模型处理缺失的数据. 这种方法提供了准确的,持续的风险评估,优于现有方法.

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An R-Based Landscape Validation of a Competing Risk Model

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