Autism Spectrum Disorder Classification Using a Self-organising Fuzzy Classifier

Jonathan Stirling, Tianhua Chen, Marios Adamou

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that covers a range of symptoms such as impaired social skills and repetitive behaviours. The diagnosis of ASD in clinics is typically lengthy and cost-ineffective. Recent advances in machine learning could facilitate more efficient and effective detection of ASD. However, fuzzy systems, as a significant soft computing technique, have been sporadically applied in the diagnosis of ASD. This chapter therefore examines the use of a recently proposed Self-Organising Fuzzy Classifier with application to the “Autism Screening Adult” data retrieved from a mobile application.
Original languageEnglish
Title of host publicationFuzzy Logic
Subtitle of host publicationRecent Applications and Developments
EditorsJenny Carter, Francisco Chiclana, Arjab Singh Khuman, Tianhua Chen
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Chapter6
Pages83-94
Number of pages12
Edition1
ISBN (Electronic)9783030664749
ISBN (Print)9783030664732, 9783030664763
DOIs
Publication statusPublished - 24 May 2021

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