Classification of Autism based on Feature Extraction from Segmented Brain MRI
B.J. Bipin Nair1, Gopi Krishna Ashok2, N.R. Sreekumar3
1B.J. Bipin Nair, Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Coimbatore (Tamil Nadu), India.
2Gopi Krishna Ashok, Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Coimbatore (Tamil Nadu), India.
3N.R. Sreekumar, Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Coimbatore (Tamil Nadu), India.
Manuscript received on 22 April 2019 | Revised Manuscript received on 01 May 2019 | Manuscript Published on 08 May 2019 | PP: 85-89 | Volume-7 Issue-5S3 February 2019 | Retrieval Number: E11160275S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Autism Spectrum Disorder is a neurological irregularity with multiple behavioral symptoms. It includes Asperger syndrome and pervasive developmental disorders. It is called as “spectrum” disorder because an individual with ASD might have a wide range of symptoms. People with ASD will have communication trouble, low eye contact, limited attentiveness and tedious behaviors. Various researches on structural MRI have mostly concentrated on the detection of autism in people with ASD. This study’s aim is to classify the type of Autism Spectrum Disorder for various body movements. Here we use supervised classification algorithms like ID3.For our study, we are considering the datasets which consists of 50 normal and 50 autistic brain MRI. Here, we are mainly focusing on effective classification of ASD using a classifier with a class label.
Keywords: ASD (Autism Spectrum Disorder), SVM- (Support Vector Machine), ELM-(Extreme Learning Machine), H-ELM- (Hierarchical Extreme Learning Machine), GPC-(Gaussian Process Classification), GM-(Grey Matter).
Scope of the Article: Classification