Deep sequential neural network models improve stratification of suicide attempt risk among US Veterans

Abstract: OBJECTIVE: To apply deep neural networks (DNNs) to longitudinal EHR data in order to predict suicide attempt risk among veterans. Local explainability techniques were …

Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005–2018

Abstract: Depression is a common mental health problem among veterans, with high mortality. Despite the numerous conducted investigations, the prediction and identification of risk …