Developing predictive imaging biomarkers using whole-brain classifiers: Application to the ABIDE I dataset

We designed a modular machine learning program that uses functional magnetic resonance imaging (fMRI) data in order to distinguish individuals with autism spectrum disorders from neurodevelopmentally normal individuals. Data was selected from the Autism Brain Imaging Dataset Exchange (ABIDE) I Prepr...

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Bibliografske podrobnosti

Principais autores:	Swati Rane, Eshin Jolly, Anne Park, Hojin Jang, Cameron Craddock
Format:	Artigo
Jezik:	Inglês
Izdano:	Pensoft Publishers 2017-03-01
Serija:	Research Ideas and Outcomes
Teme:	Machine learning classifier Autism fMRI Pyt
Online dostop:	https://riojournal.com/article/12733/
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