Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism

Open Access

Peer-reviewed

Research Article

Sina Ghiassian,

Affiliations Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada, Alberta Machine Learning Institute (AMII), formerly Alberta Innovates Centre for Machine Learning (AICML), Edmonton, Alberta, Canada
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Russell Greiner,

Affiliations Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada, Alberta Machine Learning Institute (AMII), formerly Alberta Innovates Centre for Machine Learning (AICML), Edmonton, Alberta, Canada
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Ping Jin,

Affiliations Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada, Alberta Machine Learning Institute (AMII), formerly Alberta Innovates Centre for Machine Learning (AICML), Edmonton, Alberta, Canada
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Matthew R. G. Brown

* E-mail: mbrown2@ualberta.ca

Affiliations Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada, Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada, Alberta Machine Learning Institute (AMII), formerly Alberta Innovates Centre for Machine Learning (AICML), Edmonton, Alberta, Canada
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ADHD
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Magnetic resonance imaging
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Functional magnetic resonance imaging
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Autism
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Machine learning
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Machine learning algorithms
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Neuroimaging
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Preprocessing
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