Artificial intelligence in autism assessment

被引:0
作者
Anagnostopoulou P. [1 ]
Alexandropoulou V. [1 ]
Lorentzou G. [1 ]
Lykothanasi A. [1 ]
Ntaountaki P. [1 ]
Drigas A. [1 ]
机构
[1] N.C.S.R. Demokritos, Athens
关键词
Artificial intelligence; Assessment; Autism;
D O I
10.3991/IJET.V15I06.11231
中图分类号
学科分类号
摘要
Abstract-The current paper review gives a brief and representative description of the role that artificial intelligence plays nowadays at the assessment of autism. Therefore, many researchers note that artificial intelligence plays a notable role in the early diagnosis of autism since it helps the clinicians shorten the diagnose process and have more accurate results. Thus, the research team of this paper presents some applications of artificial intelligence that are used already or are in a preliminary phase aiming to highlight the use of smart technology in the diagnosing process of autism. Lastly, it is worth noting that an early and accurate diagnose is the key point for an individualized and successful intervention which aids the academic as well as the personal development of the child. © 2020, Kassel University Press GmbH.
引用
收藏
页码:95 / 107
页数:12
相关论文
共 42 条
  • [1] Block M.E., Block V.E., Halliday P., What is autism?, Teaching Elementary Physical Education, 17, 6, pp. 7-11, (2006)
  • [2] Gena A., Autism and pervasive developmental disorders, (2002)
  • [3] Baraka K., Melo F., Veloso M., Simulating Behaviors of Children with Autism spectrum disorder through reversal of the autism diagnosis process, Proc. of the Portuguese Conference on Artificial Intelligence, pp. 753-765, (2017)
  • [4] Thabtah F., Peebles D., A new machine learning model based on induction of rules for autism detection, Health Informatics Journal, (2019)
  • [5] Daniels J., Schwartz J., Nikhila A., Du M., Wall D.P., The GapMap project: A mobile surveillance system to map diagnosed autism cases and gaps in autism services globally, Molecular Autism, 8, 55, (2017)
  • [6] Allison C., Auyeung B., Baron-Cohen S., Toward brief 'Red Flags' for autism screening: The short Autism Spectrum Quotient and the short Quantitative Checklist for Autism in Toddlers in 1,000 cases and 3,000 controls, Child Adolescent Psychiatry, 51, 2, pp. 202-212, (2012)
  • [7] Tariq Q., Daniels J., Schwartz J.N., Washington P., Kalantarian H., Wall D.P., Mobile detection of autism through machine learning on home video: A development and prospective validation study, PLoSMed, 15, 11, (2018)
  • [8] Kaur J., Kakkar D., Fuzzy Based Integrated Diagnostic System for Neurodevelopmental Disorders, Proc. of the 6th International Conference on Signal Processing and Integrated Networks (SPIN), pp. 132-136, (2019)
  • [9] Vlachavas I., Kefalas P., Vasiliadis N., Kokoras F., Sakelariou I., Artificial Intelligence, (2011)
  • [10] Hsiung Hsu F., Behind Deep Blue Building The Computer That Defeated The World Chess Champion, (2002)