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Application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children
The prevalence of neurodevelopment disorders (NDDs) among children has been on the rise. This has affected the health and social life of children. This condition has also imposed a huge economic burden on families and health care systems. Currently, it is difficult to perform early diagnosis of NDDs...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449316/ https://www.ncbi.nlm.nih.gov/pubmed/36090350 http://dx.doi.org/10.3389/fpsyt.2022.960672 |
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author | Song, Chao Jiang, Zhong-Quan Liu, Dong Wu, Ling-Ling |
author_facet | Song, Chao Jiang, Zhong-Quan Liu, Dong Wu, Ling-Ling |
author_sort | Song, Chao |
collection | PubMed |
description | The prevalence of neurodevelopment disorders (NDDs) among children has been on the rise. This has affected the health and social life of children. This condition has also imposed a huge economic burden on families and health care systems. Currently, it is difficult to perform early diagnosis of NDDs, which results in delayed intervention. For this reason, patients with NDDs have a prognosis. In recent years, machine learning (ML) technology, which integrates artificial intelligence technology and medicine, has been applied in the early detection and prediction of diseases based on data mining. This paper reviews the progress made in the application of ML in the diagnosis and treatment of NDDs in children based on supervised and unsupervised learning tools. The data reviewed here provide new perspectives on early diagnosis and treatment of NDDs. |
format | Online Article Text |
id | pubmed-9449316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94493162022-09-08 Application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children Song, Chao Jiang, Zhong-Quan Liu, Dong Wu, Ling-Ling Front Psychiatry Psychiatry The prevalence of neurodevelopment disorders (NDDs) among children has been on the rise. This has affected the health and social life of children. This condition has also imposed a huge economic burden on families and health care systems. Currently, it is difficult to perform early diagnosis of NDDs, which results in delayed intervention. For this reason, patients with NDDs have a prognosis. In recent years, machine learning (ML) technology, which integrates artificial intelligence technology and medicine, has been applied in the early detection and prediction of diseases based on data mining. This paper reviews the progress made in the application of ML in the diagnosis and treatment of NDDs in children based on supervised and unsupervised learning tools. The data reviewed here provide new perspectives on early diagnosis and treatment of NDDs. Frontiers Media S.A. 2022-08-24 /pmc/articles/PMC9449316/ /pubmed/36090350 http://dx.doi.org/10.3389/fpsyt.2022.960672 Text en Copyright © 2022 Song, Jiang, Liu and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Song, Chao Jiang, Zhong-Quan Liu, Dong Wu, Ling-Ling Application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children |
title | Application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children |
title_full | Application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children |
title_fullStr | Application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children |
title_full_unstemmed | Application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children |
title_short | Application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children |
title_sort | application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449316/ https://www.ncbi.nlm.nih.gov/pubmed/36090350 http://dx.doi.org/10.3389/fpsyt.2022.960672 |
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