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

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 Pr...

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Bibliographic Details
Main Authors: Swati Rane, Eshin Jolly, Anne Park, Hojin Jang, Cameron Craddock
Format: Article
Language:English
Published: Pensoft Publishers 2017-03-01
Series:Research Ideas and Outcomes
Subjects:
Machine learning
classifier
Autism
fMRI
Pyt
Online Access:https://riojournal.com/article/12733/

Internet

https://riojournal.com/article/12733/

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