Autism Spectrum Disorder Classification Using a Self-organising Fuzzy Classifier

Jonathan  Stirling; Tianhua Chen; Marios Adamou

doi:10.1007/978-3-030-66474-9_6

Autism Spectrum Disorder Classification Using a Self-organising Fuzzy Classifier

Jonathan Stirling, Tianhua Chen, Marios Adamou

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-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 language	English
Title of host publication	Fuzzy Logic
Subtitle of host publication	Recent Applications and Developments
Editors	Jenny Carter, Francisco Chiclana, Arjab Singh Khuman, Tianhua Chen
Place of Publication	Cham
Publisher	Springer Nature Switzerland AG
Chapter	6
Pages	83-94
Number of pages	12
Edition	1
ISBN (Electronic)	9783030664749
ISBN (Print)	9783030664732, 9783030664763
DOIs	https://doi.org/10.1007/978-3-030-66474-9_6
Publication status	Published - 24 May 2021

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1 Editorial work

Springer Nature Switzerland AG (Publisher)
Jennifer Carter (Editor), Francisco Chiclana (Editor), Arjab Singh Khuman (Editor) & Tianhua Chen (Editor)
Oct 2019 → Oct 2020
Activity: Publication peer-review and editorial work types › Editorial work

Cite this

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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.",

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Autism Spectrum Disorder Classification Using a Self-organising Fuzzy Classifier. / Stirling, Jonathan ; Chen, Tianhua; Adamou, Marios.

Fuzzy Logic: Recent Applications and Developments. ed. / Jenny Carter; Francisco Chiclana; Arjab Singh Khuman; Tianhua Chen. 1. ed. Cham : Springer Nature Switzerland AG, 2021. p. 83-94.

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

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Autism Spectrum Disorder Classification Using a Self-organising Fuzzy Classifier

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Springer Nature Switzerland AG (Publisher)

Cite this