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◆ INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY2025-10-30· Down syndrome

EFFECTIVE DETECTION OF DOWN SYNDROME FROM FACIAL EXPRESSIONS USING DEEP LEARNING PREDICTIVE MODELS

Rajender Radharam

原始摘要(英文原文)· Original abstract
This paper has research summary about Down syndrome (DS) a genetic developmental condition caused by the presence of an extra copy of chromosome 21 and is associated with characteristic physical features, cognitive impairment, and developmental delays.Individuals with Down syndrome often experience challenges in communication, learning, and social interaction, with varying levels of intellectual disability.Unlike neuro developmental spectrum disorders, Down syndrome is a chromosomal condition that can be clinically diagnosed; however, early identification remains critical for timely intervention and improved developmental outcomes.Traditional diagnostic approaches for Down syndrome rely on prenatal screening, postnatal clinical assessment, and genetic testing.In recent years, research has explored the use of facial phenotype analysis and image-based techniques to support early screening, particularly in low-resource or non-clinical settings.Advances in computer vision and machine learning have enabled systematic extraction of facial Rajender Radharam https://iaeme.com/Home/
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EFFECTIVE DETECTION OF DOWN SYNDROME FROM FACIAL EXPRESSIONS USING DEEP LEARNING PREDICTIVE MODELS — 科研速览 Science Skim