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