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A Review of Machine Learning Models for Predicting Autism Spectrum Disorder

Kanchanamala P, G.Leela Sagar
2019 Helix  
The research embody diverse approaches to classify and categorize cognitive disorders affected children based on fMRI scan images, facial expressions, gage contingent eye tracking and stereotypical motor  ...  Autism spectrum disorder (ASD) is a neurological and developmental disorder that impacts the behavior of the person throughout a life.  ...  Stereotypical Motor Movements: Children with ASD feels difficulty in social communication and exhibit repetitive behaviors known as stereotypical motor movements (SMM).  ... 
doi:10.29042/2019-4797-4801 fatcat:3qyltbuuqnamjmbbx5ywtbozpi

Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism [article]

Nastaran Mohammadian Rad, Andrea Bizzego, Seyed Mostafa Kia, Giuseppe Jurman, Paola Venuti, Cesare Furlanello
2016 arXiv   pre-print
Autism Spectrum Disorders (ASDs) are often associated with specific atypical postural or motor behaviors, of which Stereotypical Motor Movements (SMMs) have a specific visibility.  ...  Here, we propose to employ the deep learning paradigm in order to learn discriminating features from multi-sensor accelerometer signals.  ...  Stereotypical Motor Movements (SMMs) in autism (such as body rocking, mouthing, and complex hand movements) [10] can significantly restrict the learning and social interactions.  ... 
arXiv:1511.01865v3 fatcat:64dumjm42vdntdg6ya5wqiseeq

Computer Vision Techniques for Autism Symptoms Detection and Recognition: A Survey

Esraa Sadek, Noha AbdElSabour Seada, Said Ghoniemy
2020 International Journal of Intelligent Computing and Information Sciences  
This survey provides a comprehensive study of autism spectrum disorder, its types, symptoms, prevalence, and developments in its diagnosing.  ...  Computational technologies, especially computer-vision, machine learning and neural networks techniques have added great advances in detecting autism and these techniques are comprehensively reviewed in  ...  [65] proposed solution that apply deep learning techniques on generic to detect SMM.  ... 
doi:10.21608/ijicis.2020.46360.1034 fatcat:hn27qhwgsbeahbrnybemzmlwji

Diversity and Complexity of Hand Movement for Autism Spectrum Disorder Intervention

Dinghuang Zhang, Carrie M Toptan, Gongyue Zhang, Shuiwen Zhao, Dalin Zhou, Honghai Liu
2021 2021 13th International Conference on Advanced Computational Intelligence (ICACI)  
Flexibility and adaptability described in individuals with Autism Spectrum Disorders (ASD) refer to Stereotypical Motor Movements (SMM) and social interaction deficits, both of which are important symptoms  ...  Inspired by the most recent psychological research by Jonge-Hoekstra, this paper aims to distinguish hand movement with two quantitative metrics extracted by the mid-layer of a supervised convolutional  ...  Many recent studies have used machine learning classifiers to automatically detect stereotypical motor movements (SMM) in individuals with ASD [18] [19] [20] [21] .  ... 
doi:10.1109/icaci52617.2021.9435864 fatcat:wn573cmulva6vcplesrawh4y74

Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019

Ryan Anthony J. de Belen, Tomasz Bednarz, Arcot Sowmya, Dennis Del Favero
2020 Translational Psychiatry  
The current state of computer vision methods applied to autism spectrum disorder (ASD) research has not been well established.  ...  The primary objective of this systematic review is to examine how computer vision analysis has been useful in ASD diagnosis, therapy and autism research in general.  ...  A deep learning approach has also been applied to recognise developmental disorders through facial images.  ... 
doi:10.1038/s41398-020-01015-w pmid:32999273 fatcat:7sfld3ry2baznav5c7ztwxhxkq

Autism Spectrum Disorder: the Present Perspective

S Chaudhuri, N Chatterjee
2015 Journal of College of Medical Sciences-Nepal  
Autism being a disorder stemming from early childhood and the prevalence rate rising alarmingly over the years, Pediatricians are expected to play a vital role in early detection and early intervention  ...  To identify the early warning signs of autism, it is important that Pediatricians are able to recognize the signs and symptoms of autistic spectrum disorders(ASD), have a strategy for assessing them systematically  ...  of autism spectrum disorders (ASD).  ... 
doi:10.3126/jcmsn.v10i3.12775 fatcat:6nmnz7jovvdihjbule6difhwee

Neurodevelopmental Disorder

2019 Psihologіčne konsul'tuvannâ і psihoterapіâ  
An approach to define a neurodevelopment disorders, intellectual, neuromotor and autism spectrum disabilities, but also of that wide border area that falls within the current definition of Special Educational  ...  comparison between neuropsychiatric and pedagogical perspectives, focusing on two complementarity disciplines, which can enrich each other by making contact with the tensions of their respective fields, in  ...  Autistic Spectrum Disorders Until the end of the 1970s, condition of autism in childhood was called infantile schizophrenia.  ... 
doi:10.26565/2410-1249-2019-12-05 fatcat:gepkqwxi4vfx5hlpdcg3fixmze

Machine Learning and Virtual Reality on Body Movements' Behaviors to Classify Children with Autism Spectrum Disorder

Mariano Alcañiz Alcañiz Raya, Javier Marín-Morales, Maria Eleonora Minissi, Gonzalo Teruel Teruel Garcia, Luis Abad, Irene Alice Chicchi Chicchi Giglioli
2020 Journal of Clinical Medicine  
Autism spectrum disorder (ASD) is mostly diagnosed according to behavioral symptoms in sensory, social, and motor domains.  ...  The findings showed the feasibility of applying machine learning and virtual reality to identify body movements' biomarkers that could contribute to improving ASD diagnosis.  ...  Introduction Autism Spectrum Disorder and Repetitive Behaviors Autism spectrum disorder (ASD) is a neurodevelopmental disorder mainly based on impairments in social communication and interactions' abilities  ... 
doi:10.3390/jcm9051260 pmid:32357517 pmcid:PMC7287942 fatcat:rpabwcuxibdhjlfqalhmt7s6oa

Applying Deep Learning to Specific Learning Disorder Screening [article]

Nuriel S. Mor, Kathryn L. Dardeck
2020 arXiv   pre-print
This is a novel attempt to detect students with the diagnosis of specific learning disorder using deep learning.  ...  The purpose of this study was to evaluate the ability of a deep CNN to detect students with a diagnosis of specific learning disorder from their handwriting.  ...  Rad et al., (2018) successfully detected stereotypical motor movement in patients with autism spectrum disorder with the aid of deep learning.Deep Learning and Specific Learning Disorder DiagnosisSpecific  ... 
arXiv:2008.13525v1 fatcat:4gqcdzl3wfa3hbe2s2lzwsm4ba

Employing Machine Learning-Based Predictive Analytical Approaches to Classify Autism Spectrum Disorder Types

Muhammad Kashif Hanif, Naba Ashraf, Muhammad Umer Sarwar, Deleli Mesay Adinew, Reehan Yaqoob, Sheng Du
2022 Complexity  
In this study, different machine and deep learning algorithms were applied to classify the severity of autism spectrum disorder.  ...  If the autism spectrum disorder is detected in the early childhood, it will be very beneficial for children to enhance their mental health level.  ...  Mohammadian Rad and Furlanello [27] applied deep learning to the automatic detection of stereotypical motor movements. ey used the convolutional neural network (CNN) to learn a discriminative feature  ... 
doi:10.1155/2022/8134018 fatcat:bxounguuvfbdrfe5uvqqetgx54

Management of Autistic Patients in Dental Office: A Clinical Update

Shashidhar Chandrashekhar, Jyothi S Bommangoudar, Nikhil Marwah
2018 International Journal of Clinical Pediatric Dentistry  
This organic disorder is known to have deformities in brain, i.e., cerebellum and limbic system, showing wide spectrum of systemic and behavioral symptoms.  ...  Autism is an intellectual developmental disorder characterized by insidious disability in communication, social interaction, and using language and abstract concepts.  ...  to as autism spectrum disorder (ASD).  ... 
doi:10.5005/jp-journals-10005-1515 pmid:30131645 pmcid:PMC6102426 fatcat:oedr4clkqbf2dgg3qdu2pxbgre

Artificial Intelligence in Autism Assessment

Panagiota Anagnostopoulou, Vasiliki Alexandropoulou, Georgia Lorentzou, Andriana Lykothanasi, Polyxeni Ntaountaki, Athanasios Drigas
2020 International Journal of Emerging Technologies in Learning (iJET)  
Thus, the research team of this paper presents some applications of artificial intelligence that are used already or are in a preliminary phase aiming to highlight the use of smart technology in the diagnosing  ...  process of autism.  ...  According to Rad and Furnanello, the majority of the studies were mainly focused on the social and communicational problems of the children with ASD, while the stereotypical motor movement (SMMs) of the  ... 
doi:10.3991/ijet.v15i06.11231 fatcat:djmgocpodbcvbpcajhrycpkov4

A Novel Deep Learning Approach for Recognizing Stereotypical Motor Movements within and across Subjects on the Autism Spectrum Disorder

Lamyaa Sadouk, Taoufiq Gadi, El Hassan Essoufi
2018 Computational Intelligence and Neuroscience  
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by persistent difficulties including repetitive patterns of behavior known as stereotypical motor movements (SMM).  ...  In this context, we propose a deep learning approach for SMM recognition, namely, convolutional neural networks (CNN) in time and frequency-domains.  ...  Supplementary Materials Values used to plot histograms of Figure  ... 
doi:10.1155/2018/7186762 pmid:30111994 pmcid:PMC6077579 fatcat:dvbc3z3p4feuxb4i4cbmo62cce

The Clinical and Electroencephalography Findings of Children with Pervasive Developmental Disorder

Semih Ayta, Candan Gürses, Zerrin Topçu Bilgen, Ayşe Kılınçarslan, Mefkure Eraksoy
2016 Türk Nöroloji Dergisi  
It may be possible to distinguish between stereotypical movements, tics and epileptic seizures with EEG recordings, which will be repeated in time in these patients.  ...  Results: In the systemic and neurologic examinations and investigations, findings of a specific disease that could cause autism was not detected.  ...  , gait, the use of limbs and stereotyped movements, and we tried to evaluate them in terms of cranial nerves, tone, deep tendon reflex (DTR), and plantar reflex (PR).  ... 
doi:10.4274/tnd.67778 fatcat:2s73pdd2jjc25njesoccq5foji

The pathophysiology of restricted repetitive behavior

Mark Lewis, Soo-Jeong Kim
2009 Journal of Neurodevelopmental Disorders  
Restricted, repetitive behaviors (RRBs) are heterogeneous ranging from stereotypic body movements to rituals to restricted interests.  ...  There does not seem to be a category of RRB that is unique or specific to autism and RRB does not seem to be robustly correlated with specific cognitive, sensory or motor abnormalities in autism.  ...  Genetics of restricted repetitive behavior Autism spectrum disorder (ASD) has a strong genetic component with complex inheritance.  ... 
doi:10.1007/s11689-009-9019-6 pmid:21547711 pmcid:PMC3090677 fatcat:nahpvf5z2rayjb3qngszfp625m
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