Diagnosis‐Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine …
ME Alqaysi, AS Albahri… - International Journal of …, 2022 - Wiley Online Library
Autism spectrum disorder (ASD) is a complex neurobehavioral condition that begins in
childhood and continues throughout life, affecting communication and verbal and behavioral …
childhood and continues throughout life, affecting communication and verbal and behavioral …
An XAI based autism detection: the context behind the detection
With the rapid growth of the Internet of Healthcare Things, a massive amount of data is
generated by a broad variety of medical devices. Because of the complex relationship in …
generated by a broad variety of medical devices. Because of the complex relationship in …
Improved transfer-learning-based facial recognition framework to detect autistic children at an early stage
Autism spectrum disorder (ASD) is a complex neuro-developmental disorder that affects
social skills, language, speech and communication. Early detection of ASD individuals …
social skills, language, speech and communication. Early detection of ASD individuals …
Efficient machine learning models for early stage detection of autism spectrum disorder
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that severely impairs an
individual's cognitive, linguistic, object recognition, communication, and social abilities. This …
individual's cognitive, linguistic, object recognition, communication, and social abilities. This …
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 Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision‐Making (MCDM) …
ME Alqaysi, AS Albahri… - … and Mathematical Methods …, 2022 - Wiley Online Library
Background and Contexts. Autism spectrum disorder (ASD) is difficult to diagnose,
prompting researchers to increase their efforts to find the best diagnosis by introducing …
prompting researchers to increase their efforts to find the best diagnosis by introducing …
[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 …
[PDF][PDF] Autism spectrum disorder prediction by an explainable deep learning approach
Autism Spectrum Disorder (ASD) is a developmental disorder whose symptoms become
noticeable in early years of the age though it can be present in any age group. ASD is a …
noticeable in early years of the age though it can be present in any age group. ASD is a …
Towards autism subtype detection through identification of discriminatory factors using machine learning
Autism spectrum disorder (ASD) is a neuro-developmental disease that has a lifetime impact
on a person's ability to interact and communicate with others. Early discovery of autism can …
on a person's ability to interact and communicate with others. Early discovery of autism can …
[HTML][HTML] Predicting the Risk of Sleep Disorders Using a Machine Learning–Based Simple Questionnaire: Development and Validation Study
S Ha, SJ Choi, S Lee, RH Wijaya, JH Kim… - Journal of medical …, 2023 - jmir.org
Background Sleep disorders, such as obstructive sleep apnea (OSA), comorbid insomnia
and sleep apnea (COMISA), and insomnia are common and can have serious health …
and sleep apnea (COMISA), and insomnia are common and can have serious health …