Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review
Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
A review of machine learning methods of feature selection and classification for autism spectrum disorder
Autism Spectrum Disorder (ASD), according to DSM-5 in the American Psychiatric
Association, is a neurodevelopmental disorder that includes deficits of social communication …
Association, is a neurodevelopmental disorder that includes deficits of social communication …
Data imbalance in classification: Experimental evaluation
Abstract The advent of Big Data has ushered a new era of scientific breakthroughs. One of
the common issues that affects raw data is class imbalance problem which refers to …
the common issues that affects raw data is class imbalance problem which refers to …
A new machine learning model based on induction of rules for autism detection
F Thabtah, D Peebles - Health informatics journal, 2020 - journals.sagepub.com
Autism spectrum disorder is a developmental disorder that describes certain challenges
associated with communication (verbal and non-verbal), social skills, and repetitive …
associated with communication (verbal and non-verbal), social skills, and repetitive …
Exploring feature selection and classification methods for predicting heart disease
R Spencer, F Thabtah, N Abdelhamid… - Digital …, 2020 - journals.sagepub.com
Machine learning has been used successfully to improve the accuracy of computer-aided
diagnosis systems. This paper experimentally assesses the performance of models derived …
diagnosis systems. This paper experimentally assesses the performance of models derived …
Chinese college students have higher anxiety in new semester of online learning during COVID-19: a machine learning approach
C Wang, H Zhao, H Zhang - Frontiers in psychology, 2020 - frontiersin.org
The COVID-19 pandemic has caused tremendous loss starting from early this year. This
article aims to investigate the change of anxiety severity and prevalence among non …
article aims to investigate the change of anxiety severity and prevalence among non …
Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019
RAJ De Belen, T Bednarz, A Sowmya… - Translational …, 2020 - nature.com
The current state of computer vision methods applied to autism spectrum disorder (ASD)
research has not been well established. Increasing evidence suggests that computer vision …
research has not been well established. Increasing evidence suggests that computer vision …
Detection of autism spectrum disorder in children using machine learning techniques
K Vakadkar, D Purkayastha, D Krishnan - SN computer science, 2021 - Springer
Abstract Autism Spectrum Disorder (ASD) is a neurological disorder which might have a
lifelong impact on the language learning, speech, cognitive, and social skills of an …
lifelong impact on the language learning, speech, cognitive, and social skills of an …
Early autism screening: a comprehensive review
F Thabtah, D Peebles - … journal of environmental research and public …, 2019 - mdpi.com
Autistic spectrum disorder (ASD) refers to a neurodevelopmental condition associated with
verbal and nonverbal communication, social interactions, and behavioural complications …
verbal and nonverbal communication, social interactions, and behavioural complications …
An XAI based autism detection: the context behind the detection
With the rapid growth of the Internet of Healthcare Things, a massive amount of data is
generated by a broad variety of medical devices. Because of the complex relationship in …
generated by a broad variety of medical devices. Because of the complex relationship in …