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Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine
Mounting evidence has highlighted the implementation of big data handling and
management in the healthcare industry to improve the clinical services. Various private and …
management in the healthcare industry to improve the clinical services. Various private and …
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …
attention in recent years. Using a variety of neuroimaging modalities such as structural …
[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 …
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …
symptoms that appear in early childhood. ASD is also associated with communication …
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 …
Classification and prediction of brain disorders using functional connectivity: promising but challenging
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …
data, have been employed to reflect functional integration of the brain. Alteration in brain …
Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging
Autism spectrum disorder (ASD) is a neurodevelopmental incurable disorder with a long
diagnostic period encountered in the early years of life. If diagnosed early, the negative …
diagnostic period encountered in the early years of life. If diagnosed early, the negative …
Towards a brain‐based predictome of mental illness
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …
recent years and have deepened our understanding of both cognitively healthy and …
Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework
The atypical face scanning patterns in individuals with Autism Spectrum Disorder (ASD) has
been repeatedly discovered by previous research. The present study examined whether …
been repeatedly discovered by previous research. The present study examined whether …
A small number of abnormal brain connections predicts adult autism spectrum disorder
Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying
neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and …
neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and …