Machine learning as a support tool for early diagnosis in children with autism spectrum disorder: A systematic review of the literature - Scopus

Willian Javier Ocampo-Pazos, Carina Soledad González-González

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Autism Spectrum Disorder (ASD) is “a developmental disability caused by differences in the brain [1]”. With this background, the need arises to find a support tool for early diagnosis in children with autism, where machine learning and deep learning algorithms are currently available. In addition, it can be noted that it is important to have "current knowledge of the subject [2, p. 98]”, and as an initial step, the agile framework for systematic reviews of literature in formative research was used, and a thematic index was established, identifying variables and levels of variation. Likewise, the searches were semantically structured and the search scripts related to the search sprints were developed. As a result, 143 and 189 articles per sprint were found, and 6 papers that are common in the search sprint A and B were selected, which serve as the first reference in a research plan.

Idioma originalInglés
Título de la publicación alojadaProceedings - JICV 2023
Subtítulo de la publicación alojada13th International Conference on Virtual Campus
EditoresFernando Moreira, Carina S. Gonzalez-Gonzalez, Alfonso Infante-Moro, Juan C. Infante-Moro, Julia Gallardo-Perez, Alicia Garcia-Holgado, Francisco Jose Garcia-Penalvo
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350343441
DOI
EstadoPublicada - 2023
Publicado de forma externa
Evento13th International Conference on Virtual Campus, JICV 2023 - Porto, Portugal
Duración: 25 sep. 202326 sep. 2023

Serie de la publicación

NombreProceedings - JICV 2023: 13th International Conference on Virtual Campus

Conferencia

Conferencia13th International Conference on Virtual Campus, JICV 2023
País/TerritorioPortugal
CiudadPorto
Período25/09/2326/09/23

Nota bibliográfica

Publisher Copyright:
©2023 IEEE.

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