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Updated: May 24, 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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儿童创伤同时发生的模式及其对自杀倾向的预测性:一种机器学习方法

Wenbang Niu1, Yi Feng2, Shicun Xu3

  • 1Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.

iScience
|March 5, 2025
PubMed
概括

童年创伤 (CT) 模式显著影响年轻人的自杀倾向. 了解这些独特的创伤类型对于开发有针对性的干预措施和改善心理健康结果至关重要.

关键词:
临床神经科学 临床神经科学机器学习是机器学习.

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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
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