A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: Experiences from bangladesh
Diabetes is a chronic disease caused by a persistently high blood sugar level, causing other
chronic diseases, including cardiovascular, kidney, eye, and nerve damage. Prompt …
chronic diseases, including cardiovascular, kidney, eye, and nerve damage. Prompt …
Hybrid techniques of facial feature image analysis for early detection of autism spectrum disorder based on combined CNN features
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized
by difficulties in social communication and repetitive behaviors. The exact causes of ASD …
by difficulties in social communication and repetitive behaviors. The exact causes of ASD …
Novel framework for autism spectrum disorder identification and tailored education with effective data mining and ensemble learning techniques
Autism Spectrum Disorder (ASD) is a neurological condition that significantly affects
cognitive abilities, language comprehension, object recognition, interpersonal skills, and …
cognitive abilities, language comprehension, object recognition, interpersonal skills, and …
Attention-Focused Eye Gaze Analysis to Predict Autistic Traits Using Transfer Learning
R Vasant Bidwe, S Mishra, S Kamini Bajaj… - International Journal of …, 2024 - Springer
Autism spectrum disorder (ASD) is a complex developmental issue that affects the behavior
and communication abilities of children. It is extremely needed to perceive it at an early age …
and communication abilities of children. It is extremely needed to perceive it at an early age …
Leveraging Machine Learning for Early Autism Detection via INDT-ASD Indian Database
T Shrivastava, H Chaudhari, V Singh - arXiv preprint arXiv:2404.02181, 2024 - arxiv.org
Machine learning (ML) has advanced quickly, particularly throughout the area of health care.
The diagnosis of neurodevelopment problems using ML is a very important area of …
The diagnosis of neurodevelopment problems using ML is a very important area of …
[PDF][PDF] An Explainable machine learning framework for early detection of stroke
A stroke is a critical neurological defect of the brain's blood vessels that occurs when the
blood supply to a portion of the brain struggles or stops depriving brain cells of oxygen. It …
blood supply to a portion of the brain struggles or stops depriving brain cells of oxygen. It …
ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology
Abstract Autism Spectrum Disorder (ASD) is a chronic condition characterised by
impairments in social interaction and communication. Early detection of ASD is desired, and …
impairments in social interaction and communication. Early detection of ASD is desired, and …
Behavioral and Clinical Data Analysis for Autism Spectrum Disorder Screening with Machine Learning
The study of appropriate and accurate classification for “autism spectrum disorder (ASD)” is
crucial, and this study,“Behavioral and Clinical Data Analysis for Autism Spectrum Disorder …
crucial, and this study,“Behavioral and Clinical Data Analysis for Autism Spectrum Disorder …
Improving Machine Learning based ASD Diagnosis with Effective Feature Selection
Autism spectrum disorder (ASD) poses major public health challenges due to its increasing
prevalence and the critical need for early intervention to improve outcomes. This study …
prevalence and the critical need for early intervention to improve outcomes. This study …