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

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...

Full description

Bibliographic Details
Main Authors: Lirong Tan, Xinyu Guo, Sheng Ren, Jeff N. Epstein, Long J. Lu
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-09-01
Series:Frontiers in Computational Neuroscience
Subjects:
attention deficit hyperactivity disorder
automatic diagnosis
functional volume
machine learning
support vector machine
Online Access:http://journal.frontiersin.org/article/10.3389/fncom.2017.00075/full

Internet

http://journal.frontiersin.org/article/10.3389/fncom.2017.00075/full

Similar Items