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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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MACHINE LEARNING BASED MODEL FOR PREDICTION OF AUTISM SPECTRUM DISORDER
Authors
Dhanush Vasudevaraju,Sandhya A Kulkarni,C Ramesh Chandra,C Sai Ranganath,Dinesh M
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Keywords
machine learning, autism spectrum disorder, parameters, autism quotient tool
Abstract
Autism spectrum disorder is a neurodevelopmental disorder that affects a person's interaction, communication and learning skills. Although diagnosis of autism can be done at any age, its symptoms generally appear in the first two years of life and develop through time. Autism patients face different types of challenges such as difficulties with concentration, learning disabilities, mental health problems such as anxiety, depression, motor difficulties, sensory problems, and many others. Diagnosis of autism requires significant amount of time and cost. Earlier detection of autism can come to a great help by prescribing patients with proper medication at an early stage. It can prevent the patient's condition from deteriorating further and would help to reduce long term costs associated with delayed diagnosis. Thus, an efficient, accurate and easy screening test tool is very much required which would predict autism traits in an individual. The main idea behind this project is to detect autism spectrum disorder in an individual (male/female). This project is implemented by making use of a Machine Learning model using parameters such as an individual's age, gender, ethnicity, Autism Quotient Tool. The detection derived from this project will help an individual to get required diagnosis in time to prevent further complications of developing Alzheimer's disease.
IJCRT's Publication Details
Unique Identification Number - IJCRT2212217
Paper ID - 228794
Author type - Indian Author
Page Number(s) - c113-c117
Pubished in - Volume 10 | Issue 12 | December 2022
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.32389
No Of Downloads - 168
Author Country - India, 560100, Bengaluru, Bengaluru, 560100, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
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Dhanush Vasudevaraju,Sandhya A Kulkarni,C Ramesh Chandra,C Sai Ranganath,Dinesh M, "MACHINE LEARNING BASED MODEL FOR PREDICTION OF AUTISM SPECTRUM DISORDER", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 12, pp.c113-c117, December 2022, Available at :http://www.ijcrt.org/papers/IJCRT2212217.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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