[HTML][HTML] Evaluation of artificial intelligence techniques in disease diagnosis and prediction

N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …

Deep learning with image-based autism spectrum disorder analysis: A systematic review

MZ Uddin, MA Shahriar, MN Mahamood… - … Applications of Artificial …, 2024 - Elsevier
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …

[HTML][HTML] Deep learning algorithms to identify autism spectrum disorder in children-based facial landmarks

H Alkahtani, THH Aldhyani, MY Alzahrani - Applied Sciences, 2023 - mdpi.com
People with autistic spectrum disorders (ASDs) have difficulty recognizing and engaging
with others. The symptoms of ASD may occur in a wide range of situations. There are …

A machine learning framework for early-stage detection of autism spectrum disorders

SMM Hasan, MP Uddin, M Al Mamun, MI Sharif… - IEEE …, 2022 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a type of neurodevelopmental disorder that affects the
everyday life of affected patients. Though it is considered hard to completely eradicate this …

Toward machine learning-based psychological assessment of autism spectrum disorders in school and community

S Ahmed, MF Hossain, SB Nur… - Proceedings of Trends …, 2022 - Springer
The sensory processing system of the human body is capable of collecting, developing, and
integrating information through sensory organs. Sensory impairment has been discovered in …

[HTML][HTML] A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: experiences from bangladesh

MJ Uddin, MM Ahamad, MN Hoque, MAA Walid… - Information, 2023 - mdpi.com
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 …

A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders

S Zhang, X Chen, X Shen, B Ren, Z Yu, H Yang… - Medical Image …, 2023 - Elsevier
Accurate diagnosis of neurodevelopmental disorders is a challenging task due to the time-
consuming cognitive tests and potential human bias in clinics. To address this challenge, we …

[HTML][HTML] An integrated statistical and clinically applicable machine learning framework for the detection of autism spectrum disorder

MJ Uddin, MM Ahamad, PK Sarker, S Aktar, N Alotaibi… - Computers, 2023 - mdpi.com
Autism Spectrum Disorder (ASD) is a neurological impairment condition that severely
impairs cognitive, linguistic, object recognition, interpersonal, and communication skills. Its …

Development of a DNAzyme walker for the detection of APE1 in living cancer cells

J Tao, H Zhang, M Weinfeld, XC Le - Analytical Chemistry, 2023 - ACS Publications
DNAzyme walker technology is a compelling option for bioanalytical and drug delivery
applications. While nucleic acid and protein targets have been used to activate DNAzyme …

Unlocking the potential of autism detection: Integrating traditional feature selection and machine learning techniques

SH Hammed, AS Albahri - Applied Data Science and Analysis, 2023 - mesopotamian.press
The diagnostic process for Autism Spectrum Disorder (ASD) typically involves time-
consuming assessments conducted by specialized physicians. To improve the efficiency of …