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Open Access

Peer-reviewed

Research Article

A comparison of machine learning algorithms for the surveillance of autism spectrum disorder

Scott H. Lee ,

Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Writing – original draft

* E-mail: yle4@cdc.gov

Affiliation Centers for Disease Control and Prevention, Atlanta, GA, United States of America

http://orcid.org/0000-0003-4584-6758

⨯
Matthew J. Maenner,

Roles Conceptualization, Data curation, Project administration, Writing – review & editing

Affiliation Centers for Disease Control and Prevention, Atlanta, GA, United States of America
⨯
Charles M. Heilig

Roles Methodology, Supervision, Writing – review & editing

Affiliation Centers for Disease Control and Prevention, Atlanta, GA, United States of America
⨯

A comparison of machine learning algorithms for the surveillance of autism spectrum disorder

Scott H. Lee,
Matthew J. Maenner,
Charles M. Heilig

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Published: September 25, 2019
https://doi.org/10.1371/journal.pone.0222907

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Autism spectrum disorder
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Disease surveillance
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Neural networks
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Children
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Machine learning algorithms
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Support vector machines
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Autism
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Machine learning
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