An Age-Adjusted EEG Source Classifier Accurately Detects School-Aged Barbadian Children That Had Protein Energy Malnutrition in the First Year of Life

An Age-Adjusted EEG Source Classifier Accurately Detects School-Aged Barbadian Children That Had Protein Energy Malnutrition in the First Year of Life

We have identified an electroencephalographic (EEG) based statistical classifier that correctly distinguishes children with histories of Protein Energy Malnutrition (PEM) in the first year of life from healthy controls with 0.82% accuracy (area under the ROC curve). Our previous study achieved simil...

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Bibliographic Details
Main Authors: Maria L. Bringas Vega, Yanbo Guo, Qin Tang, Fuleah A. Razzaq, Ana Calzada Reyes, Peng Ren, Deirel Paz Linares, Lidice Galan Garcia, Arielle G. Rabinowitz, Janina R. Galler, Jorge Bosch-Bayard, Pedro A. Valdes Sosa
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Neuroscience
Subjects:
protein energy malnutrition PEM
children
EEG
source analysis
classifiers
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.01222/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2019.01222/full

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