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Improving Predictive Classification Models Using Generative Adversarial Networks in the Prediction of Suicide Attempts
Measurement and Evaluation in Counseling and Development ( IF 1.4 ) Pub Date : 2021-04-23 , DOI: 10.1080/07481756.2021.1906156 Anthony A. Mangino 1 , Kendall A. Smith 1 , W. Holmes Finch 1 , Maria E. Hernández-Finch 1
中文翻译:
在预测自杀未遂中使用生成对抗网络改进预测分类模型
更新日期:2021-04-23
Measurement and Evaluation in Counseling and Development ( IF 1.4 ) Pub Date : 2021-04-23 , DOI: 10.1080/07481756.2021.1906156 Anthony A. Mangino 1 , Kendall A. Smith 1 , W. Holmes Finch 1 , Maria E. Hernández-Finch 1
Affiliation
Abstract
A number of machine learning methods can be employed in the prediction of suicide attempts. However, many models do not predict new cases well in cases with unbalanced data. The present study improved prediction of suicide attempts via the use of a generative adversarial network.
中文翻译:
在预测自杀未遂中使用生成对抗网络改进预测分类模型
摘要
许多机器学习方法可用于预测自杀企图。但是,在数据不平衡的情况下,许多模型不能很好地预测新病例。本研究通过使用生成对抗网络改进了对自杀企图的预测。