China
Africa
Explore chapters and articles related to this topic
Machine Learning in Diagnosis of Children with Disorders
Published in Rashmi Agrawal, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore, Dac-Nhuong Le, Machine Learning for Healthcare, 2020
Lokesh Kumar Saxena, Manishikha Saxena
ASD is a neuron development-related disorder which limits communication, social transactions, and behavior. It is a rapidly growing in the world. Its causes are associated with genetics and neurologic factors. It is mainly detected by utilizing non-genetical factors such as communication, repetitive behaviors, social transactions, play, and imagination. Almost 1.5% the world population is thought to be on the Autistic spectrum. Recent studies have reported a 3:1 ratio of male-to-females with ASD. In the US, about 1 in 59 children, are reported to have ASD.
Big Data Era in Magnetic Resonance Imaging of the Human Brain
Published in Ervin Sejdić, Tiago H. Falk, Signal Processing and Machine Learning for Biomedical Big Data, 2018
Xiaoyu Ding, Elisabeth de Castro Caparelli, Thomas J. Ross
ASD is a developmental disorder including a wide range of social deficits and communication difficulties. It is characterized by persistent deficits in social communication and interaction across multiple contexts, as well as restricted, repetitive patterns of behavior, interests, and activities. Although the causation of ASD is not clearly known, it is suggested that genetic, developmental, and environmental factors could be combined as possible causal or predisposing effects that develop ASD [147]. Table 3.4 lists papers that applied automatic diagnosis technology to ASD using neuroimaging features and machine learning. These studies were mainly performed on small- or medium-sized data with a wide accuracy range, which indicates that as a disorder, ASD has a huge range of deficits (i.e., it may be a heterogeneous disease).
Driver Capabilities in the Resumption of Control
Published in Donald L. Fisher, William J. Horrey, John D. Lee, Michael A. Regan, Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles, 2020
Sherrilene Classen, Liliana Alvarez
In the United States, ASD affects 1 in 59 children (Centers for Disease Control and Prevention, 2018). ADHD affects 1 in 11 of 4- to 17-year olds (Centers for Disease Control and Prevention, 2017; Visser, Bitsko, Danielson, Perou, & Blumberg, 2010) and approximately 13.2% of males and 5.6% of females under the age of 18. Should they meet the diagnostic criteria for both conditions, teens receive a dual diagnosis of ADHD/ASD (American Psychiatric Association, 2000, 2012; Clark, Feehan, Tinline, & Vostanis, 1999). The prevalence of those with a dual diagnosis is unknown.
Robot-mediated interventions for teaching children with ASD: A new intraverbal skill
Published in Assistive Technology, 2022
Jessica Korneder, Wing-Yue Geoffrey Louie, Cristyn M. Pawluk, Ibrahim Abbas, Molly Brys, Faith Rooney
Autism Spectrum Disorder (ASD) is defined by the Centers for Disease Control and Prevention (CDC) as a developmental disability that can cause significant social, communication, and behavioral challenges and was identified to affect nearly 1 in 54 children (Center for Disease Control and Prevention [CDCP], 2020). Some common indications of ASD include repetitive behaviors, poor eye contact, limited or nonfunctional play skills, difficulty adapting to routine changes, trouble expressing and understanding emotions, and restricted social skills. The severity of these challenges and symptoms vary from person to person. Although ASD is a lifelong disorder, early intervention has been proven to be significantly more effective when compared to those who receive intervention at a later age. Teaching strategies for a child with ASD often include the reinforcement of desired skills and behaviors through individualized instruction, intensive training, repeated instruction, and generalization across environments (Ruble et al., 2012).
The need for and barriers to using assistive technologies among individuals with Autism Spectrum Disorders in China
Published in Assistive Technology, 2022
Lingling Deng, Prapa Rattadilok
Autism Spectrum Disorders (ASDs) are a group of neurodevelopmental disabilities that impact development in social communication and social interaction, accompanied by restricted, repetitive patterns of behavior or interest (Ousley & Cermak, 2014). Autism is described as a Spectrum Disorder because the symptom expression varies and the support that an individual requires also varies depending on the severity of symptoms. The main symptoms of ASD can be characterized into three domains: social communication, stereotypical behavior, and sensory processing (Benssassai et al., 2018). Individuals impacted by ASD may present poor verbal and non-verbal communication, repetitive motor movements, restricted interests, or hypo/hyper-reactivity to sensory input. These symptoms can appear by the age of three and last throughout a person’s life (Centers for Disease Control and Prevention [CDC], 2019b). It is noteworthy that 70% of individuals with ASD also have at least one coexisting disorder condition, such as intellectual disability, social anxiety disorder, attention-deficit/hyperactivity disorder, and oppositional defiant disorder (Simonoff et al., 2008). This brings greater stress and heavier raising burden for caregivers of ASD children compared to caregivers of typically developing (TD) children and children with other disabilities (Xiong et al., 2011).
An Efficient Approach for Detection of Autism Spectrum Disorder Using Electroencephalography Signal
Published in IETE Journal of Research, 2022
Tulikapriya Sinha, Mousami V. Munot, R. Sreemathy
ASD is a disorder related to the brain which can be categorized by symptoms such as the inability to understand emotions, movement, not able to respond appropriately, trouble in reading, writing, and speaking [4,5]. This is a non-curable disorder and is usually detected at an early stage of life. Its diagnosis is difficult as per current trends due to medical complications and undefined symptoms. ASD is increasing at an exponential rate as per the reports published by the Centre for Disease Control and Prevention (CDC), in April 2018, 1 in every 59 children is diagnosed with ASD based on the 2014 medical reports (https://www.cdc.gov/media/releases/2018/p0426-autism-prevalence.html), and 1 in every 89 children suffers from this in India, nearly 13 million children suffer from autism in India [6]. As per the current research, ASD cannot be cured completely and is often termed as a lifelong disorder. Hence the research is being carried out to find ways for its easy and reliable detection.