Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan

Universal primary education is critical for individual academic growth and overall adult productivity of nations. Estimates indicate that 25% of 59 million primary age out of school children drop out and early grade failure is one of the factors. An objective and feasible screening measure to identi...

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Detalles Bibliográficos
Autores principales: Rasheed, Muneera A., Chand, Prem, Ahmed, Saad, Sharif, Hamza, Hoodbhoy, Zahra, Siddiqui, Ayat, Hasan, Babar S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869999/
https://www.ncbi.nlm.nih.gov/pubmed/33556088
http://dx.doi.org/10.1371/journal.pone.0246236

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869999/
https://www.ncbi.nlm.nih.gov/pubmed/33556088
http://dx.doi.org/10.1371/journal.pone.0246236

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