Psychology Commons^™

Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae

Psychology Faculty Articles and Research

Background

As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.

Methods

Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.

Results

A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …

The Relationship Between Combat Experience, Veteran Pathology And The Pathology Of Their Intimate Partners: What Factors Predict The Pathology Of Veterans And Their Intimate Partners, Edwin A. Brennan

Dissertations

Problem Statement

Military members and their family members who are part of the Global War on Terrorism have experienced deployments and war for over sixteen years and with the resulting toll on both the veteran and their intimate partner. As a result, higher levels of pathology, such as PTSD, Anxiety, and Depression have been experienced by this population. While research has studied the effect of combat on military members, very little research has addressed the effects on family members. Further, no research that has been found by this researcher, has addressed the concept of resonating of pathology between the combat …