[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 …
[HTML][HTML] A multi-classifier-based recommender system for early autism spectrum disorder detection using machine learning
Efficient and effective medical diagnostic systems are needed for Autism Spectrum Disorder
(ASD) detection and treatment. Healthcare specialists generates extensive remarks on …
(ASD) detection and treatment. Healthcare specialists generates extensive remarks on …
Contrastive machine learning reveals in EEG resting-state network salient features specific to autism spectrum disorder
We explore the potential of the contrastive variational autoencoder to detect latent disorder-
specific patterns in the network, analyzing functional brain networks in autistic individuals as …
specific patterns in the network, analyzing functional brain networks in autistic individuals as …
HTM Spatial Pooler-a Nonparametric Interpretable Feature Selection Algorithm? An Introductory Exploration
Neuroimaging data analysis suffers from the curse of dimensionality. Feature selection plays
an important role in mitigating this curse. Here we explore the potential of the Hierarchical …
an important role in mitigating this curse. Here we explore the potential of the Hierarchical …
A Clinical Diagnosis Based Approach for EEG-Based Classification of Autism Spectrum Disorder Using Hilbert Transform and Single Label SVM
S Patil, P Patil - 2023 7th International Conference On …, 2023 - ieeexplore.ieee.org
The goal of this study was to create a machine learning-based technique for identifying
electroencephalography (EEG) data to help in the diagnosis of autism spectrum disorder …
electroencephalography (EEG) data to help in the diagnosis of autism spectrum disorder …
[PDF][PDF] HTM Spatial Pooler− Interpretable Feature Selection Algorithm? An Introductory Exploration
Neuroimaging data analysis suffers from the curse of dimensionality. Feature selection plays
an important role in mitigating this curse. Here we explore the potential of the Hierarchical …
an important role in mitigating this curse. Here we explore the potential of the Hierarchical …
[PDF][PDF] Autism Spectrum Disorder Detection Using Machine Learning
P Gyanchandani, G Shrivastava - 2016 - ijaets.in
autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by a
variety of behavioral and social problems that can be effectively managed through …
variety of behavioral and social problems that can be effectively managed through …