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Updated: Jul 4, 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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一个预测模型的研究协议,以评估基于人口的可避免住院风险:可避免住院人口风险预测工具 (AvHPoRT)

Laura C Rosella1,2,3,4, Mackenzie Hurst5,6, Meghan O'Neill5

  • 1Dalla Lana School of Public Health, University of Toronto, 155 College Street, Health Sciences Building 6th Floor, Toronto, ON, M5T 3M7, Canada. laura.rosella@utoronto.ca.

Diagnostic and prognostic research
|February 5, 2024
PubMed
概括

这项研究开发了可避免住院人口风险工具 (AvHPoRT),以预测 ambulatory care-sensitive conditions (ACSCs) 的可避免住院情况. 该工具使用例行收集的健康调查数据来识别面临风险的人群,以便进行主动干预.

关键词:
门诊护理敏感的情况可以避免住院治疗.人口水平 人口水平预测模型的预测模型.研究协议研究协议.对生存分析的分析.

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