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Updated: Jun 27, 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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研究一种基于机器学习的适应性和高效的查模型,用于社区惩戒囚犯的心理症状

Zhifei Xu1,2, Zhigeng Pan3,4, Yan Wang2

  • 1School of Public Health, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.

Scientific reports
|April 30, 2024
PubMed
概括

这项研究开发了一种自适应机器学习模型,用于选社区惩戒囚犯的心理风险,大大简化了评估. 该模型提高了心理健康问题的检测率,减少了错误诊断和潜在的伤害.

关键词:
适应性测试是一种适应性测试.社区惩戒囚犯的社区惩戒囚犯机器学习 机器学习心理症状 症状 心理症状公共卫生 公共卫生选模型的选模型

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