Medicine and Health Sciences 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) …

1st Place Research Paper: The Effectiveness Of Yoga Therapy On An Adult, Post-Stroke Population: A Systematic Review, Baylor E. Hogan

Kevin and Tam Ross Undergraduate Research Prize

Objectives: The objectives of this paper are to (1) give a brief overview of stroke pathophysiology (2) outline yoga as a therapeutic strategy (3) present the current research on yoga rehabilitation for stroke (4) discuss the efficacy of yoga for chronic stroke.

Methods: Relevant terms were searched in PubMed, Web of Science, Academic OneFile, ScienceDirect, and Google Scholar electronic databases. Studies were excluded if they contained pediatric stroke, non-stroke neurological diseases, or subjects with comorbidities. Statistically significant data was extracted for the primary measures of nine trials.

Results: Four studies measured statistically significant outcomes (p<0.05). These included improvements in balance, independence, endurance, trait anxiety, fear of falling, self-efficacy, pain, strength, range of motion (ROM), activity, participation, and quality of life (QoL). Discussion: Lack of statistical significance in post-stroke depression (PSD) measures may be due to inadequate intervention length or a psychosocial cause of depression. Improvements in balance, flexibility, and strength from yoga participation permitted progress in disability and functionality. Finally, overall health-related quality of life (HRQL) is affected by the severity of mental disorders and physical disability. Yoga can have a positive effect in both domains and therefore, may improve HRQL.

Conclusion: …