Community 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) …

Efficacy Of Integrated Mental Health Care With Dual Diagnosis Patients And Their Utilization Of Psychiatric Emergency Services, Denton Scott

Doctoral Dissertations

Historically, patients with dual diagnosis have been subjected to ineffective treatment and negative attitudes from healthcare providers. Further, these patients are plagued with myriad afflictions that exist beyond substance abuse and mental illness. The treatments and collateral damage associated with the diagnosis impose excessive healthcare costs and can be of significant detriment to society. Largely, patients suffering from dual diagnosis do not receive adequate treatment. As such, psychiatric emergency services are frequently utilized as an alternate treatment, wherein the main focus of care is on the substance abuse alone. This study argues that solely treating the substance abuse is not …

Adverse Childhood Experiences, Homeless Chronicity, And Age At Onset Of Homelessness, Joseph T. Tucciarone Jr.

Electronic Theses and Dissertations

Childhood adversity is associated with numerous negative outcomes across multiple domains, including mental and physical health, interrelationships, and social functioning. Notably, research suggests that childhood adversity has a dose-response relationship with these outcomes; that is, greater numbers of adverse experiences in childhood are associated with worse outcomes. These outcomes overlap with many risk factors of homelessness. This study sought to address two questions: 1) Does a dose-response relationship exist between childhood adversity and chronic homelessness? 2) Does childhood adversity negatively predict the age at which homelessness first occurs? Adults experiencing homeless who are accessing homeless services in the Tri-Cities area …