Paper Title
Autism Spectrum Disorder Detection in children using Deep Learning
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Registration ID: IJNRD_199768
Published ID: IJNRD2306385
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Keywords
Autism Spectrum Disorder, Deep Learning, Deep neural networks, Logistic Regression, clinical standard methods.
Abstract
Autism Spectrum Disorder is a neurodevelopmental condition. It is characterized by differences seen in social, cognitive and developmental skills. In autism spectrum disorder or autism, “Spectrum” refers to a variety of characteristics, behaviors and skills exhibited by a person with autism. One of the major causes of autism is genetics but early detection and treatment can improve the condition. Early symptoms of ASD start showing at the age of 3 years and above. Our paper mainly focuses on studying and detecting ASD in children from age 4-11 years using Deep Learning which can help automate the whole ASD diagnosis process. We have used a dataset consisting of 20 features with the screening test records of 292 patients. The main technology used here is Deep Neural Networks which can help detect if a child has ASD or not. The obtained results are predicted using binary numbers (0’s or 1’s). Among different classifiers in DL we used one such classifier which works best with binary classification and is called Logistic Regression (LR). Therefore, with the help of many DL approaches we built a system which is able to detect ASD in children with 95% accuracy and can become an alternative for standardized clinical tests and provide results in a short time.
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How To Cite (APA)
Devarasetty Hiranmai, Chitrao Srilakshmi Raghavendra, Gogikari Nikhitha , & Mantha Shailaja (June-2023). Autism Spectrum Disorder Detection in children using Deep Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), d815-d819. https://ijnrd.org/papers/IJNRD2306385.pdf
Issue
Volume 8 Issue 6, June-2023
Pages : d815-d819
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Paper Reg. ID: IJNRD_199768
Published Paper Id: IJNRD2306385
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
Country: Hyderabad, Telangana, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2306385.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306385
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