Impact of Machine Learning Pipeline Choices in Autism Prediction From Functional Connectivity Data

Autism Spectrum Disorder (ASD) is a largely prevalent neurodevelopmental condition with a big social and economical impact affecting the entire life of families. There is an intense search for biomarkers that can be assessed as early as possible in order to initiate treatment and preparation of the...

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Veröffentlicht in:	International journal of neural systems 2021-04, Vol.31 (4), p.2150009
Hauptverfasser:	Graña, Manuel, Silva, Moises
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autism Biomarkers Brain Feature extraction Impact analysis Machine learning Magnetic resonance imaging Pipelines Research Article
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