[HTML][HTML] Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Mental health is a basic need for a sustainable and developing society. The prevalence and
financial burden of mental illness have increased globally, and especially in response to …
financial burden of mental illness have increased globally, and especially in response to …
Utilities of artificial intelligence in poverty prediction: a review
Artificial Intelligence (AI) is generating new horizons in one of the biggest challenges in the
world's society—poverty. Our goal is to investigate utilities of AI in poverty prediction via …
world's society—poverty. Our goal is to investigate utilities of AI in poverty prediction via …
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals
Background Autism spectrum disorder is a common group of conditions affecting about one
in 54 children. Electroencephalogram (EEG) signals from children with autism have a …
in 54 children. Electroencephalogram (EEG) signals from children with autism have a …
A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG
Autism spectrum disorder (ASD) is a developmental disability characterized by persistent
impairments in social interaction, speech and nonverbal communication, and restricted or …
impairments in social interaction, speech and nonverbal communication, and restricted or …
Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals
Abstract Autism Spectrum Disorders (ASD) is a collection of complicated neurological
disorders that first show in early childhood. Electroencephalogram (EEG) signals are widely …
disorders that first show in early childhood. Electroencephalogram (EEG) signals are widely …
A novel automated autism spectrum disorder detection system
SL Oh, V Jahmunah, N Arunkumar… - Complex & Intelligent …, 2021 - Springer
Autism spectrum disorder (ASD) is a neurological and developmental disorder that begins
early in childhood and lasts throughout a person's life. Autism is influenced by both genetic …
early in childhood and lasts throughout a person's life. Autism is influenced by both genetic …
[HTML][HTML] Intelligent triage method for early diagnosis autism spectrum disorder (ASD) based on integrated fuzzy multi-criteria decision-making methods
Background Autism spectrum disorder (ASD) symptoms and severity levels vary from patient
to patient, so treatment and healthcare will vary. However, little attention has been given to …
to patient, so treatment and healthcare will vary. However, little attention has been given to …
Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and …
The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
Evaluation of autism spectrum disorder based on the healthcare by using artificial intelligence strategies
The behaviors of children with autism spectrum disorder (ASD) are often erratic and difficult
to predict. Most of the time, they are unable to communicate effectively in their own …
to predict. Most of the time, they are unable to communicate effectively in their own …
Classification of autism spectrum disorder from EEG-based functional brain connectivity analysis
N Alotaibi, K Maharatna - Neural computation, 2021 - direct.mit.edu
Autism is a psychiatric condition that is typically diagnosed with behavioral assessment
methods. Recent years have seen a rise in the number of children with autism. Since this …
methods. Recent years have seen a rise in the number of children with autism. Since this …