Diagnosing autism severity associated with physical fitness and gray matter volume in children with autism spectrum disorder: Explainable machine learning method
K Xu, Z Sun, Z Qiao, A Chen - Complementary Therapies in Clinical …, 2023 - Elsevier
Purpose This study aimed to investigate the relationship between physical fitness, gray
matter volume (GMV), and autism severity in children with autism spectrum disorder (ASD) …
matter volume (GMV), and autism severity in children with autism spectrum disorder (ASD) …
[HTML][HTML] An integrated statistical and clinically applicable machine learning framework for the detection of autism spectrum disorder
Autism Spectrum Disorder (ASD) is a neurological impairment condition that severely
impairs cognitive, linguistic, object recognition, interpersonal, and communication skills. Its …
impairs cognitive, linguistic, object recognition, interpersonal, and communication skills. Its …
Intra and inter-regional functional connectivity of the human brain due to Task-Evoked fMRI Data classification through CNN & LSTM
H Kaheni, MB Shiran, SK Kamrava… - Journal of …, 2024 - Elsevier
Background and purpose Olfaction is an early marker of neurodegenerative disease.
Standard olfactory function is essential due to the importance of olfaction in human life. The …
Standard olfactory function is essential due to the importance of olfaction in human life. The …
An Efficient Autism Spectrum Disorder Classification in Different Age Groups using Machine Learning Models.
AR Subhash, AKU Motagi - International Journal of Online & …, 2024 - search.ebscohost.com
The current world has witnessed the emergence of various illnesses, such as autism
spectrum disorder (ASD), that are not yet medically recognized. It impacts multiple …
spectrum disorder (ASD), that are not yet medically recognized. It impacts multiple …
Research advancements in autism spectrum disorder using neuroimaging
M Meenakshi, J Chandra - AIP Conference Proceedings, 2023 - pubs.aip.org
Autism Spectrum Disorder (ASD) is a complex neurological condition that manifests as a
spectrum of symptoms at varying levels of severity.. Insufficient data and heterogeneous …
spectrum of symptoms at varying levels of severity.. Insufficient data and heterogeneous …
Facial-Based Autism Classification Using Support Vector Machine Method
Autism Spectrum Disorder (ASD) is a complex neural developmental condition
characterized by difficulties in communication, social interaction, and delayed brain …
characterized by difficulties in communication, social interaction, and delayed brain …
GRSR-a guideline for reporting studies results for machine learning applied to Electroencephalogram data
ID Rodrigues, J da Costa Silva… - Revista Brasileira de …, 2023 - seer.upf.br
A última década foi marcada pelo aumento da pesquisa em neurociência envolvendo
aprendizagem de máquina (Machine Learning, ML) e imagens médicas, como …
aprendizagem de máquina (Machine Learning, ML) e imagens médicas, como …
Predicting Autism Spectrum Disorder Based on Resting-State fMRI and Graph Theory
L Qiu, J Zhai - 2024 5th International Seminar on Artificial …, 2024 - ieeexplore.ieee.org
Machine learning methods have been extensively employed in the diagnosis of autism
spectrum disorder to comprehend the neurophysiological underpinnings. Meanwhile …
spectrum disorder to comprehend the neurophysiological underpinnings. Meanwhile …
[引用][C] Efficient Deep Learning and Machine Learning Models for Early-stage Identification of Autism Spectrum Disorder in Toddlers: Evidence from Saudi Arabia
H Alkahtani, THH Aldhyani… - Journal of …, 2023 - King Salman Center for Disability …