A Computational Model for the Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Based on Functional Brain Volume

In this paper, we investigated the problem of computer-aided diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) using machine learning techniques. With the ADHD-200 dataset, we developed a Support Vector Machine (SVM) model to classify ADHD patients from typically developing controls (TDCs...

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Detalles Bibliográficos
Autores principales: Tan, Lirong, Guo, Xinyu, Ren, Sheng, Epstein, Jeff N., Lu, Long J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596085/
https://www.ncbi.nlm.nih.gov/pubmed/28943846
http://dx.doi.org/10.3389/fncom.2017.00075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596085/
https://www.ncbi.nlm.nih.gov/pubmed/28943846
http://dx.doi.org/10.3389/fncom.2017.00075

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