Epidemiology 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) …

Utilizing Three Years Of Epidemiological Data From Medical Missions In Cambodia To Shape The Mobile Medical Clinic Formulary, Jeany Kim Jun, Junia S. Koo, Amy Y. Kang, Deborah B. Chien, Albert Shim, Dale Knutson, Eda M. Kim

Pharmacy Faculty Articles and Research

Objective: The purpose of this project was to gather epidemiological data on common diseases and medications dispensed during medical mission teams to Cambodia to shape the mobile medical clinic formulary.

Methods: Data for patients seen during week-long, mobile, medical clinics was collected in Cambodia during Septembers 2012 to 2014. Patient’s gender, age, weight, blood pressure, glucose, pertinent laboratory values, diagnoses, and medications dispensed were collected. Blood pressure and glucose were measured in patients 18 years and above. Data collected onto paper intake forms were transferred onto spreadsheets without patient identifying information and analyzed for aggregate means, common diseases, and most …