Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism

Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism

Abstract Background Autism spectrum disorder (ASD) diagnosis can be delayed due in part to the time required for administration of standard exams, such as the Autism Diagnostic Observation Schedule (ADOS). Shorter and potentially mobilized approaches would help to alleviate bottlenecks in the health...

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Bibliographic Details
Main Authors: Sebastien Levy, Marlena Duda, Nick Haber, Dennis P. Wall
Format: Article
Language:English
Published: BMC 2017-12-01
Series:Molecular Autism
Subjects:
Autism
Autism spectrum disorder
ASD
Autism screening
Autism diagnosis
Machine learning
Online Access:http://link.springer.com/article/10.1186/s13229-017-0180-6

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http://link.springer.com/article/10.1186/s13229-017-0180-6

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