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Updated: Sep 15, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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使用机器学习对青少年自杀行为进行预测建模:关键特征和算法见解

Priya Metri1, Swetta Kukreja1

  • 1Amity School of Engineering and Technology, Amity University, Mumbai, Maharashtra, India.

MethodsX
|July 18, 2025
PubMed
概括

机器学习模型在检测学生的自杀念头方面表现有前途. 随机森林和SVM是常见的,准确度高达95%,但对多样化的种群和可解释的AI需要更多的研究.

关键词:
青少年是一个青少年.人工智能的人工智能是人工智能.卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.长期和短期记忆 长期和短期记忆机器学习是机器学习.范围审查方法 范围审查方法自杀想法 自杀想法一个Xgboost模型.

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