Classification of ADHD with bi-objective optimization.
Attention Deficit Hyperactive Disorder (ADHD) is one of the most common diseases in school aged children. In this paper, we consider using fMRI data with classification techniques to aid the diagnosis of ADHD and propose a bi-objective ADHD classification scheme based on L1-norm support vector machi...
| Publicado en: | Journal of Biomedical Informatics Vol. 84; pp. 164 - 171 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Aug2018
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| Acceso en línea: | Ver este registro en EBSCOhost |