Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Analytical, Diagnostic and Therapeutic Techniques and Equipment

Neonatal Abstinence Syndrome From Selective Serotonin Reuptake Inhibitor Use During Pregnancy, Elizabeth Kramer, Maria Patnella, Rachel Bulko, Allie Harrison, Hannah Lamb, Manoranjan D'Souza Oct 2019

Neonatal Abstinence Syndrome From Selective Serotonin Reuptake Inhibitor Use During Pregnancy, Elizabeth Kramer, Maria Patnella, Rachel Bulko, Allie Harrison, Hannah Lamb, Manoranjan D'Souza

Pharmacy and Wellness Review

Neonatal abstinence syndrome (NAS) is a concern for infants born to mothers receiving treatment with a selective serotonin reuptake inhibitor (SSRI) throughout the pregnancy. The risk of NAS associated with SSRI use during pregnancy varies with the specific SSRI that is used by the patient during pregnancy. Common symptoms of NAS include premature delivery, gastrointestinal disturbances, irritability, low birth weight, short length and lack of response to various stimuli. Neonates that present with these symptoms can be scored using either the Finnegan or Lipsitz scoring tools. Neonates experiencing NAS can be calmed or treated using nonpharmacologic methods such as swaddling, …


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 Jul 2019

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) …