Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning-Reference-Cited by-同舟云学术

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Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning

Published:2019-09 Issue: Volume:129 Page:29-36
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Stevens Elizabeth,Dixon Dennis R.^ORCID,Novack Marlena N.,Granpeesheh Doreen,Smith Tristram^ORCID,Linstead Erik

Publisher

Elsevier BV

Subject

Health Informatics

Reference75 articles.

1. Diagnostic and Statistical Manual of Mental Disorders;American Psychiatric Association,2013

2. Diagnostic and Statistical Manual of Mental Disorders;American Psychiatric Association,2000

3. A multisite study of the clinical diagnosis of different autism spectrum disorders;Lord;Arch. Gen. Psychiatry,2012

4. DSM-5 and autism spectrum disorders (ASDs): an opportunity for identifying ASD subtypes;Grzadzinski;Mol. Autism,2013

5. Trajectory of language development in autistic spectrum disorders;Lord,2004

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