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

doi:10.1109/JICV59748.2023.10565642

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings - JICV 2023
Subtitle of host publication	13th International Conference on Virtual Campus
Editors	Fernando Moreira, Carina S. Gonzalez-Gonzalez, Alfonso Infante-Moro, Juan C. Infante-Moro, Julia Gallardo-Perez, Alicia Garcia-Holgado, Francisco Jose Garcia-Penalvo
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350343441
DOIs	https://doi.org/10.1109/JICV59748.2023.10565642
State	Published - 2023
Externally published	Yes
Event	13th International Conference on Virtual Campus, JICV 2023 - Porto, Portugal Duration: 25 Sep 2023 → 26 Sep 2023

Publication series

Name	Proceedings - JICV 2023: 13th International Conference on Virtual Campus

Conference

Conference	13th International Conference on Virtual Campus, JICV 2023
Country/Territory	Portugal
City	Porto
Period	25/09/23 → 26/09/23

Bibliographical note

Publisher Copyright:
©2023 IEEE.

Keywords

algorithms
autism
deep learning
literature review
Machine learning

Access to Document

10.1109/JICV59748.2023.10565642

Cite this

Ocampo-Pazos, W. J., & González-González, C. S. (2023). Machine learning as a support tool for early diagnosis in children with autism spectrum disorder: A systematic review of the literature - Scopus. In F. Moreira, C. S. Gonzalez-Gonzalez, A. Infante-Moro, J. C. Infante-Moro, J. Gallardo-Perez, A. Garcia-Holgado, & F. J. Garcia-Penalvo (Eds.), Proceedings - JICV 2023: 13th International Conference on Virtual Campus (Proceedings - JICV 2023: 13th International Conference on Virtual Campus). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/JICV59748.2023.10565642

Ocampo-Pazos, Willian Javier ; González-González, Carina Soledad. / Machine learning as a support tool for early diagnosis in children with autism spectrum disorder : A systematic review of the literature - Scopus. Proceedings - JICV 2023: 13th International Conference on Virtual Campus. editor / Fernando Moreira ; Carina S. Gonzalez-Gonzalez ; Alfonso Infante-Moro ; Juan C. Infante-Moro ; Julia Gallardo-Perez ; Alicia Garcia-Holgado ; Francisco Jose Garcia-Penalvo. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - JICV 2023: 13th International Conference on Virtual Campus).

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

abstract = "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.",

keywords = "algorithms, autism, deep learning, literature review, Machine learning",

author = "Ocampo-Pazos, {Willian Javier} and Gonz{\'a}lez-Gonz{\'a}lez, {Carina Soledad}",

note = "Publisher Copyright: {\textcopyright}2023 IEEE.; 13th International Conference on Virtual Campus, JICV 2023 ; Conference date: 25-09-2023 Through 26-09-2023",

year = "2023",

doi = "10.1109/JICV59748.2023.10565642",

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series = "Proceedings - JICV 2023: 13th International Conference on Virtual Campus",

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editor = "Fernando Moreira and Gonzalez-Gonzalez, {Carina S.} and Alfonso Infante-Moro and Infante-Moro, {Juan C.} and Julia Gallardo-Perez and Alicia Garcia-Holgado and Garcia-Penalvo, {Francisco Jose}",

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Ocampo-Pazos, WJ & González-González, CS 2023, Machine learning as a support tool for early diagnosis in children with autism spectrum disorder: A systematic review of the literature - Scopus. in F Moreira, CS Gonzalez-Gonzalez, A Infante-Moro, JC Infante-Moro, J Gallardo-Perez, A Garcia-Holgado & FJ Garcia-Penalvo (eds), Proceedings - JICV 2023: 13th International Conference on Virtual Campus. Proceedings - JICV 2023: 13th International Conference on Virtual Campus, Institute of Electrical and Electronics Engineers Inc., 13th International Conference on Virtual Campus, JICV 2023, Porto, Portugal, 25/09/23. https://doi.org/10.1109/JICV59748.2023.10565642

Machine learning as a support tool for early diagnosis in children with autism spectrum disorder: A systematic review of the literature - Scopus. / Ocampo-Pazos, Willian Javier; González-González, Carina Soledad.
Proceedings - JICV 2023: 13th International Conference on Virtual Campus. ed. / Fernando Moreira; Carina S. Gonzalez-Gonzalez; Alfonso Infante-Moro; Juan C. Infante-Moro; Julia Gallardo-Perez; Alicia Garcia-Holgado; Francisco Jose Garcia-Penalvo. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - JICV 2023: 13th International Conference on Virtual Campus).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Machine learning as a support tool for early diagnosis in children with autism spectrum disorder

T2 - 13th International Conference on Virtual Campus, JICV 2023

AU - Ocampo-Pazos, Willian Javier

AU - González-González, Carina Soledad

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

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A2 - Gonzalez-Gonzalez, Carina S.

A2 - Infante-Moro, Alfonso

A2 - Infante-Moro, Juan C.

A2 - Gallardo-Perez, Julia

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A2 - Garcia-Penalvo, Francisco Jose

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Ocampo-Pazos WJ, González-González CS. Machine learning as a support tool for early diagnosis in children with autism spectrum disorder: A systematic review of the literature - Scopus. In Moreira F, Gonzalez-Gonzalez CS, Infante-Moro A, Infante-Moro JC, Gallardo-Perez J, Garcia-Holgado A, Garcia-Penalvo FJ, editors, Proceedings - JICV 2023: 13th International Conference on Virtual Campus. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings - JICV 2023: 13th International Conference on Virtual Campus). doi: 10.1109/JICV59748.2023.10565642

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

Abstract

Publication series

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Bibliographical note

Keywords

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