Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, restricted interests, an‎d repetitive behaviors, typically presenting in early childhood. Early diagnosis is critical to improving developmental outcomes, yet traditional diagnostic methods—such as observational assessments an‎d behavioral interviews are often subjective, time-consuming, an‎d dependent on clinical expertise, which can result in delayed intervention. As ASD preva‎lence continues to rise, now affecting approximately 1 in 36 children, there is an urgent need for more efficient, accurate, an‎d accessible diagnostic tools. Artificial Intelligence (AI), particularly Machine Learning (ML), offers a promising approach by analyzing large an‎d complex datasets to identify patterns indicative of ASD that may be missed by human observation. This study investigates various AI-based prediction techniques, including Support Vector Machines, Convolutional Neural Networks (CNNs), BERT-based language models, an‎d federated learning systems, to eva‎luate their diagnostic accuracy an‎d practical applicability. The study also explores the integration of multimodal data such as facial images, behavioral patterns, language use, an‎d eye-tracking to enhance model robustness an‎d generalizability. Additionally, the study incorporates explainable AI frameworks to improve clinical trust an‎d interpretability, ensuring broader adoption in real-world diagnostic settings. Ultimately, this work earlier detection, reduce diagnostic delays, an‎d enable more personalized intervention strategies for children with ASD through intelligent, data-driven systems.

6/10/2025 12:00:00 AM

86881

1404/04/20

((A study on Prediction methods to detect autism disease))

اختلال طيف اوتيسم (ASD) , غربالگري اوتيسم , رويكردهاي مبتني بر فناوري و يادگيري ماشين در تشخيص ASD , روش‌هاي هوش مصنوعي مورد استفاده در تشخيص

Autism Spectrum Disorder (ASD) , Autism Screening , Technology-Driven Approaches an‎d Machine Learning in ASD , AI Methods Used in Detection