Social 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) …

Discovering Themes: Disability Identity Development As It Pertains To People Born With Spina Bifida, Elizabeth H. Scriven

Antioch University Full-Text Dissertations & Theses

To date, disability identity development is a highly understudied construct. There are many models of disability, each interpret disability through a specific lens, but do not address the influence of disability on identity development. The few theories of disability identity that do exist have not been widely adopted. In addition, there is a lack of empirical evidence to support them. Another difficulty is that these theories do not separate different disability groups. Rather, the theories are applied to a broad heterogenous group of disability types. This is a problem because each disability type is quite distinct from the others and …