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A Unified Framework for Inattention Estimation From Resting State Phase Synchrony Using Machine Learning
Inattention is one of the most significant clinical symptoms for evaluating attention deficit hyperactivity disorder (ADHD). Previous inattention estimations were performed using clinical scales. Recently, predictive models for inattention have been established for brain-behavior estimation using ne...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495194/ https://www.ncbi.nlm.nih.gov/pubmed/34630522 http://dx.doi.org/10.3389/fgene.2021.728913 |