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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Detalhes bibliográficos
Publicado no:Front Neurosci
Main Authors: Bringas Vega, Maria L., Guo, Yanbo, Tang, Qin, Razzaq, Fuleah A., Calzada Reyes, Ana, Ren, Peng, Paz Linares, Deirel, Galan Garcia, Lidice, Rabinowitz, Arielle G., Galler, Janina R., Bosch-Bayard, Jorge, Valdes Sosa, Pedro A.
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2019
Assuntos:
Neuroscience
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6905178/
https://ncbi.nlm.nih.gov/pubmed/31866804
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.01222
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