Improving Predictive Classification Models Using Generative Adversarial Networks in the Prediction of Suicide Attempts

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.