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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905178/
https://www.ncbi.nlm.nih.gov/pubmed/31866804
http://dx.doi.org/10.3389/fnins.2019.01222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905178/
https://www.ncbi.nlm.nih.gov/pubmed/31866804
http://dx.doi.org/10.3389/fnins.2019.01222

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