Differentiating Boys with ADHD from Those with Typical Development Based on Whole-Brain Functional Connections Using a Machine Learning Approach

Differentiating Boys with ADHD from Those with Typical Development Based on Whole-Brain Functional Connections Using a Machine Learning Approach

Yunkai Sun,1,2,* Lei Zhao,1,2,* Zhihui Lan,1,2 Xi-Ze Jia,1,2 Shao-Wei Xue1,2 1Center for Cognition and Brain Disorders, Institute of Psychological Sciences and the Affiliated Hospital, Hangzhou Normal University, Hangzhou 311121, People’s Republic of China; 2Zhejiang Key Laboratory for Res...

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Bibliographic Details
Main Authors: Sun Y, Zhao L, Lan Z, Jia XZ, Xue SW
Format: article
Language:EN
Published: Dove Medical Press 2020
Subjects:
attention deficit hyperactivity disorder (adhd)
resting-state fmri (r-fmri)
machine learning approach
support vector machine (svm)
leave-one-out cross-validation (loov)
k-mean
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
Online Access:https://doaj.org/article/4ebad5ee14bf486e9d45b38a49b00885
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https://doaj.org/article/4ebad5ee14bf486e9d45b38a49b00885

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