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) …

From Infanticide To Activism: The Transformation Of Emotions And Identity In Self-Help Movements, Verta Taylor, Lisa A. Leitz

Peace Studies Faculty Books and Book Chapters

Taylor and Leitz trace processes of collective identity construction and politicization among women suffering from postpartum psychiatric illness who have been convicted of infanticide. Joining a growing body of research suggesting that self‐help and consumer health movements can be a significant force for change in both the cultural and political arenas, Taylor and Lietz examine one such movement, a pen‐pal network of women incarcerated for committing infanticide. Taylor and Leitz show how a sense of collective identity fostered by the pen‐pal network triggered a profound emotional transformation in participants, allowing them to convert shame and loneliness into pride and solidarity, …