Comparative Study of Machine Learning Techniques Used in Autism Spectrum Disorder
Author(s) -
Apansula Sharma,
Diagpal,
Supreet Kaur,
M Gok,
Osman Altay,
Mustafa Ulas,
E Stevens,
A Atchison,
L Stevens,
E Hong,
D Granpeesheh,
D Dixon,
E Linstead,
Y Nakai,
T Takiguchi,
G Matsui,
N Yamaoka,
S Takada,
M Duda,
J Daniels,
D Wall,
Al-Jabery Khalid,
T Obafemi-Ajayi,
G Olbricht,
T Takahashi,
S Kanne,
D Wunsch,
W Engchuan,
K Dhindsa,
A Lionel,
S Scherer,
J Chan,
D Merico,
D Cutler,
T Edwards,
K Beard,
A Cutler,
K Hess,
J Gibson,
J Lawler,
Y Jiao,
R Chen,
X Ke,
L Cheng,
K Chu,
Z Lu,
E Herskovits,
K Hyde,
A.-J Griffiths,
C Giannantonio,
A Hurley-Hanson,
E,
W Liu,
M Li,
L Yi,
M Mythili,
A Shanavas,
F Thabtah,
A Crippa,
C Salvatore,
P Perego,
S Forti,
M Nobile,
M Molteni,
I Castiglioni
Publication year - 2020
Publication title -
international journal for research in engineering application and management
Language(s) - English
Resource type - Journals
ISSN - 2454-9150
DOI - 10.35291/2454-9150.2020.0024
Subject(s) - autism spectrum disorder , psychology , social communication , autism , developmental psychology , cognitive psychology
Autism Spectrum Disorder is a neuro developmental disorder characterized by persistent deficits in social interaction and communication and restricted, repetitive patterns of behavior, interests or activities. The paper shows the detailed comparative analysis of various machine learning techniques used in the field of autism spectrum disorder.
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