Enhancing Diagnosis of Autism With Optimized Machine Learning Models and Personal Characteristic Data

Autism spectrum disorder (ASD) is a developmental disorder, affecting about 1% of the global population. Currently, the only clinical method for diagnosing ASD are standardized ASD tests which require prolonged diagnostic time and increased medical costs. Our objective was to explore the predictive...

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Detalles Bibliográficos
Autores principales: Parikh, Milan N., Li, Hailong, He, Lili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384273/
https://www.ncbi.nlm.nih.gov/pubmed/30828295
http://dx.doi.org/10.3389/fncom.2019.00009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384273/
https://www.ncbi.nlm.nih.gov/pubmed/30828295
http://dx.doi.org/10.3389/fncom.2019.00009

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