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Autism Spectrum Disorder

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DeepASD: a deep adversarial-regularized graph learning method for ASD diagnosis with multimodal data.

Translational psychiatry
Autism Spectrum Disorder (ASD) is a prevalent neurological condition with multiple co-occurring comorbidities that seriously affect mental health. Precisely diagnosis of ASD is crucial to intervention and rehabilitation. A single modality may not ful...

Bilinear Perceptual Fusion Algorithm Based on Brain Functional and Structural Data for ASD Diagnosis and Regions of Interest Identification.

Interdisciplinary sciences, computational life sciences
Autism spectrum disorder (ASD) is a serious mental disorder with a complex pathogenesis mechanism and variable presentation among individuals. Although many deep learning algorithms have been used to diagnose ASD, most of them focus on a single modal...

Leveraging AI for the diagnosis and treatment of autism spectrum disorder: Current trends and future prospects.

Asian journal of psychiatry
The integration of artificial intelligence (AI) into the diagnosis and treatment of autism spectrum disorder (ASD) represents a promising frontier in healthcare. This review explores the current landscape and future prospects of AI technologies in AS...

Fractional whale driving training-based optimization enabled transfer learning for detecting autism spectrum disorder.

Computational biology and chemistry
Autism Spectrum Disorder (ASD) is a neurological illness that degrades communication and interaction among others. Autism can be detected at any stage. Early detection of ASD is important in preventing the communication, interaction and behavioral ou...

CNVDeep: deep association of copy number variants with neurocognitive disorders.

BMC bioinformatics
BACKGROUND: Copy number variants (CNVs) have become increasingly instrumental in understanding the etiology of all diseases and phenotypes, including Neurocognitive Disorders (NDs). Among the well-established regions associated with ND are small part...

Characterizing Autism Spectrum Disorder Through Fusion of Local Cortical Activation and Global Functional Connectivity Using Game-Based Stimuli and a Mobile EEG System.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
The deficit in social interaction skills among individuals with autism spectrum disorder (ASD) is strongly influenced by personal experiences and social environments. Neuroimaging studies have previously highlighted the link between social impairment...

Hybrid similarity based feature selection and cascade deep maxout fuzzy network for Autism Spectrum Disorder detection using EEG signal.

Computational biology and chemistry
Autism Spectrum Disorder (ASD) is a neurological disorder that influences a person's comprehension and way of behaving. It is a lifetime disability that cannot be completely treated using any therapy up to date. Nevertheless, in time identification a...

Machine Learning Prediction of Autism Spectrum Disorder From a Minimal Set of Medical and Background Information.

JAMA network open
IMPORTANCE: Early identification of the likelihood of autism spectrum disorder (ASD) using minimal information is crucial for early diagnosis and intervention, which can affect developmental outcomes.

Speech and language patterns in autism: Towards natural language processing as a research and clinical tool.

Psychiatry research
Speech and language differences have long been described as important characteristics of autism spectrum disorder (ASD). Linguistic abnormalities range from prosodic differences in pitch, intensity, and rate of speech, to language idiosyncrasies and ...

Pivotal response treatment and applied behavior analysis interventions for autism spectrum disorder delivered by human vs robotic agents: a systematic review of literature.

Disability and rehabilitation. Assistive technology
Robotic technology-aided instruction and interventions have been designed to support both Applied Behavior Analysis (ABA) and Pivotal Response Treatment (PRT) interventions for children with ASD. However, to the best of our knowledge, this field has ...