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Updated: Sep 9, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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基于多队列机器学习和可解释的人工智能的晚年抑郁症跨文化预测模型

Lu Liu1, Lei Tang2, Menqin Dai1

  • 1Mental Health Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China; School of Psychiatry, North Sichuan Medical College, Nanchong, China; Key Laboratory of Digital-Intelligent Disease Surveillance and Health Governance, North Sichuan Medical College, Nanchong, China.

Journal of affective disorders
|August 29, 2025
PubMed
概括

一个机器学习模型有效地预测了老年人的抑郁症. 关键预测因素包括自我评估的健康和功能状态,为全球心理健康战略提供信息.

关键词:
抑郁症可解释的人工智能机器学习年长的成人跨文化精神病学

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