Cargando…
The Use of Artificial Intelligence in Screening and Diagnosis of Autism Spectrum Disorder: A Literature Review
OBJECTIVES: The detection of autism spectrum disorder (ASD) is based on behavioral observations. To build a more objective datadriven method for screening and diagnosing ASD, many studies have attempted to incorporate artificial intelligence (AI) technologies. Therefore, the purpose of this literatu...
Autores principales: | Song, Da-Yea, Kim, So Yoon, Bong, Guiyoung, Kim, Jong Myeong, Yoo, Hee Jeong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Academy of Child and Adolescent Psychiatry
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298904/ https://www.ncbi.nlm.nih.gov/pubmed/32595335 http://dx.doi.org/10.5765/jkacap.190027 |
Ejemplares similares
-
State and Trait Anxiety of Adolescents with Autism Spectrum Disorders
por: Kim, So Yoon, et al.
Publicado: (2021) -
How Do Children with Autism Spectrum Disorder Encode and Reproduce Visuospatial Stimuli?: Investigation into Visuospatial Processing Abilities and Styles
por: Kim, So Yoon, et al.
Publicado: (2020) -
Loss of Acquired Skills: Regression in Young Children With Autism Spectrum Disorders
por: Kim, Ye Rim, et al.
Publicado: (2023) -
Clinical characteristics of comorbid tic disorders in autism spectrum disorder: exploratory analysis
por: Kim, Ye Rim, et al.
Publicado: (2023) -
Patterns of Restricted and Repetitive Behaviors in Toddlers and Young Children with Autism Spectrum Disorder
por: Song, Da-Yea, et al.
Publicado: (2022)