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InECCE2019 pp 495-503 | Cite as

Intelligent Autism Screening Using Fuzzy Agent

  • Nurul Najihah Che Razali
  • Ngahzaifa Ab. GhaniEmail author
  • Syifak Izhar Hisham
Conference paper
  • 6 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 632)

Abstract

In the diagnosis of diseases, either physical or psychological, there are situations causing reaching for second independent opinion very hard. This is especially true in the diagnosis of Autism due to the complex process of diagnosis. Apart from the complex process, the challenges include cost and the availability of experts. This, however, does not change the fact that having regular independent second opinions is crucial. Hence, this study proposes an intelligent autism screening model using fuzzy agent, to assist the expert and non-expert in making the diagnosis. In this study, the fuzzy inputs are assigned based on five categories, which are Communication, Gross Motor, Fine Motor, Problem Solving, and Personal Social, and is specifically for three-year-old children only. The proposed model will be able to produce output in the form of sequences based on lowest to highest mark of the scores for each category. This output will then relate to the suggestion of activities to autistic children by priority (based on the scores obtained).

Keywords

Autism spectrum disorder (ASD) Agent-Based Fuzzy agent Autistic children Symptoms 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Nurul Najihah Che Razali
    • 1
  • Ngahzaifa Ab. Ghani
    • 1
    Email author
  • Syifak Izhar Hisham
    • 1
  1. 1.Faculty of Computer Systems & Software Engineering (FSKKP)Universiti Malaysia PahangKuantanMalaysia

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