Fuzzy model for detection and estimation of the degree of autism spectrum disorder
Early detection of autism spectrum disorder (ASD) is of great significance for early intervention. Besides, knowing the degree of severity in ASD and how it changes with the intervention is imperative for the treatment process. This study proposes Takagi- Sugeno-Kang (TSK) fuzzy modeling approach th...
Main Authors: | Shams, Wafaa Khazaal, Abdul Rahman, Abdul Wahab, A. Qidwai, Uvais |
---|---|
Format: | Proceeding Paper |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/29062/1/Fuzzy_model_for_detection_and_estimation_of_the_degree_of_autism_spectrum_disorder.pdf |
Similar Items
-
Motor movement for autism spectrum disorder (ASD) detection
by: Abdul Rahman, Abdul Wahab
Published: (2010) -
Detecting Different Tasks Using EEG-Source-Temporal Features
by: Shams, Wafa Khazal, et al.
Published: (2012) -
Affective computing model using source-temporal domain
by: Shams, Wafaa Khazaal, et al.
Published: (2013) -
Characterizing autistic disorder based on principle component analysis
by: Shams, Wafa Khazal, et al.
Published: (2012) -
Detection of Autism Spectrum Disorder (ASD) based on motor imitation
by: Abdul Rahman, Abdul Wahab, et al.
Published: (2011)