Classification of ADHD Individuals and Neurotypicals Using Reliable RELIEF: A Resting-State Study

Fractional amplitude of low-frequency fluctuation (fALFF) can reflect the intensity of spontaneous neuronal activity. Feature selection on functional magnetic resonance imaging (fMRI) data combined with fALFF can be well used to study the pathology of attention deficit hyperactivity disorder (ADHD)...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.62163-62171
Hauptverfasser:	Miao, B., Zhang, L. L., Guan, J. L., Meng, Q. F., Zhang, Y. L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Attention deficit hyperactivity disorder Deep learning Entropy Entropy (Information theory) Feature extraction Feature selection Functional magnetic resonance imaging image classification Linear regression Magnetic resonance imaging Medical diagnosis Principal component analysis Principal components analysis Regression analysis Reliability
Online-Zugang:	Volltext
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