Data-driven diagnostics and the potential of mobile artificial intelligence for digital therapeutic phenotyping in computational psychiatry

P Washington, N Park, P Srivastava, C Voss… - Biological Psychiatry …, 2020 - Elsevier
Data science and digital technologies have the potential to transform diagnostic
classification. Digital technologies enable the collection of big data, and advances in …

A pilot study investigating the use of mobile technology for coordinating educational plans in inclusive settings

N Siyam, S Abdallah - Journal of Special Education …, 2022 - journals.sagepub.com
Good coordination among school staff and families leads to increased learning quality and
academic success for students with special education needs and disabilities (SEND). This …

A comparative analysis of prediction of autism spectrum disorder (ASD) using machine learning

V Vishal, A Singh, YB Jinila, SP Shyry… - 2022 6th International …, 2022 - ieeexplore.ieee.org
The Autism Spectrum Disorder (ASD) is a neurological disease, which affects the mental,
social and physical state of a person. A person of any age group can be found infected by it …

Comparative Analysis of Gender-Based Differences in Behavioral Mastery, Goals, and Characteristics in Autistic Individuals: An Applied Behavior Analysis Study

T Peterson, J Dodson, R Sherwin, F Strale Jr - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Introduction It is widely recognized that the prevalence and diagnosis of autism spectrum
disorder (ASD) are more common in males than in females. Despite this, there is a …

Predicting efficacy of therapeutic services for autism spectrum disorder using scientific workflows

F Bhuyan, S Lu, I Ahmed… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Early intervention in autism, although deemed as essential, has high variance in the
outcome attained, partially due to complex interaction between multitude of factors and …

[HTML][HTML] Predicting behavioral target mastery with age, intensity and duration, open targets, and maintenance failure with applied behavior analysis in individuals with …

T Peterson, J Dodson, F Strale - Cureus, 2024 - ncbi.nlm.nih.gov
Background Researchers have studied the effects of age, treatment intensity, and treatment
duration with applied behavior analysis (ABA) outcomes in autistic individuals. This study's …

Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings

N Siyam - 2021 - search.proquest.com
Learners with special education needs and disabilities (SEND) require attention from a large
set of a care team that includes parents, teachers, specialists, therapists, and doctors. Good …

Classifying challenging behaviors in autism spectrum disorder with word embeddings

A Atchison, G Pinto, A Woodward… - 2021 20th IEEE …, 2021 - ieeexplore.ieee.org
The understanding and treatment of challenging behaviors in individuals with Autism
Spectrum Disorder are paramount to enabling the success of behavioral therapy; an …

Toward automatic motivator selection for autism behavior intervention therapy

N Siyam, S Abdallah - Universal Access in the Information Society, 2023 - Springer
Children with autism spectrum disorder (ASD) usually show little interest in academic
activities and may display disruptive behavior when presented with assignments. Research …

Bridging learning gap for autism spectrum disorder

A Singh, A Mathur, N Hasteer - 2019 International Conference …, 2019 - ieeexplore.ieee.org
Technology is the most revolutionary and confidence inspiring step taken by mankind. The
evolution of technology with the combination of health care has proven to be beneficial in …