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6 articles for “ASD”
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Autism Spectrum Disorder Prediction Using Classification Techniques: A Comparative Analysis
Abstract: Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder marked by difficulties in social interaction, communication, and repetitive behaviors. Identifying and addressing ASD early is essential for enhancing the quality of life for those affected. Data mining techniques have emerged as powerful tools in analyzing large datasets to predict and diagnose ASD, aiding in early identification and intervention. This article presents a comprehensive comparative analysis of classification techniques employed in …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 66–71 Read article
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Early Autism Diagnosis: Machine Learning Models and Their Effectiveness
Abstract: Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of ASD detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from Kaggle. Logistic Regression, XG Boost, Random Forest, Decision Tree, and Gradient Boosting were taken into consideration. Other performance …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Gene Expression Profiling in Autism Spectrum Disorder: A Microarray Analysis Using Gse42133
Abstract: Autism Spectrum Disorder (ASD) is a diverse neurodevelopmental disorder characterized by difficulties in social interaction, communication impairments, and restricted or repetitive patterns of behavior. Despite its increasing prevalence, the underlying molecular mechanisms remain poorly understood. Advances in transcriptomics offer opportunities to investigate the gene expression changes that may contribute to ASD pathophysiology. In this study, the microarray dataset GSE42133 was analyzed, which comprises gene expression profiles from peripheral blood samples …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 37–48 Read article
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A Comprehensive Review on Inclusive Education: Critical Approach to Supporting Children with Autism
Abstract: A developmental illness that affects people to varied degrees over a range, autism spectrum disorder (ASD) is defined by difficulty with social interaction, communication, and repetitive activities. This study investigates useful methods for integrating ASD children into regular educational settings. The aim of inclusive education is to integrate students with autism spectrum disorder (ASD) into mainstream classroom environments. The review paper employed a systematic literature review approach, together with comparative …
Published in International Journal of Children · Vol. 1, Issue 2, 2024 · pp. 24–30 Read article
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Specialized Education in Enhancing Life Satisfaction Among Caregivers of Children with Autism
Abstract: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition that significantly impairs a person's ability to communicate, engage in social interactions, and exhibit typical behavioral patterns. Raising a child with autism presents several difficulties for couples. Specialized education can be beneficial for children with autism. The study aims to identify the role of special education and satisfaction rates among autistic caregivers. The result shows that special education causes a 37.9 …
Published in International Journal of Children · Vol. 1, Issue 2, 2024 · pp. 38–42 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article