[HTML][HTML] Virtual reality in the diagnostic and therapy for mental disorders: A systematic review
Background Virtual reality (VR) technologies are playing an increasingly important role in
the diagnostics and treatment of mental disorders. Objective To systematically review the …
the diagnostics and treatment of mental disorders. Objective To systematically review the …
Annual Research Review: Translational machine learning for child and adolescent psychiatry
Children and adolescents could benefit from the use of predictive tools that facilitate
personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been …
personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been …
[Retracted] Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms
FW Alsaade, MS Alzahrani - Computational Intelligence and …, 2022 - Wiley Online Library
Autism spectrum disorder (ASD) is a type of mental illness that can be detected by using
social media data and biomedical images. Autism spectrum disorder (ASD) is a neurological …
social media data and biomedical images. Autism spectrum disorder (ASD) is a neurological …
Eye gaze as a biomarker in the recognition of autism spectrum disorder using virtual reality and machine learning: A proof of concept for diagnosis
The core symptoms of autism spectrum disorder (ASD) mainly relate to social
communication and interactions. ASD assessment involves expert observations in neutral …
communication and interactions. ASD assessment involves expert observations in neutral …
Machine Learning-based Evaluation of Heart Rate Variability Response in Children with Autism Spectrum Disorder
VA Mohammed, MA Mohammed… - … and Smart Energy …, 2023 - ieeexplore.ieee.org
At present, various electronic devices are used to monitor human heart rates. However, its
functions are to avoid predicting the problems caused by heart rate variability in advance …
functions are to avoid predicting the problems caused by heart rate variability in advance …
Current trends and opportunities in the methodology of electrodermal activity measurement
Electrodermal activity (EDA) has been measured in the laboratory since the late 1800s.
Although the influence of sudomotor nerve activity and the sympathetic nervous system on …
Although the influence of sudomotor nerve activity and the sympathetic nervous system on …
Assessment of the autism spectrum disorder based on machine learning and social visual attention: A systematic review
The assessment of autism spectrum disorder (ASD) is based on semi-structured procedures
addressed to children and caregivers. Such methods rely on the evaluation of behavioural …
addressed to children and caregivers. Such methods rely on the evaluation of behavioural …
Machine learning and virtual reality on body movements' behaviors to classify children with autism spectrum disorder
Autism spectrum disorder (ASD) is mostly diagnosed according to behavioral symptoms in
sensory, social, and motor domains. Improper motor functioning, during diagnosis, involves …
sensory, social, and motor domains. Improper motor functioning, during diagnosis, involves …
[HTML][HTML] A systematic literature review on the application of machine-learning models in behavioral assessment of autism spectrum disorder
Autism spectrum disorder (ASD) is associated with significant social, communication, and
behavioral challenges. The insufficient number of trained clinicians coupled with limited …
behavioral challenges. The insufficient number of trained clinicians coupled with limited …
Heart rate as a predictor of challenging behaviours among children with autism from wearable sensors in social robot interactions
Children with autism face challenges in various skills (eg, communication and social) and
they exhibit challenging behaviours. These challenging behaviours represent a challenge to …
they exhibit challenging behaviours. These challenging behaviours represent a challenge to …