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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

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  Published Paper Details:

  Paper Title

A Literature Review On Autism Spectrum Disorder (Asd) Detecton Using Machine Learning

  Authors

  Bhagyashree P,  Maaria Tooba Khan,  Fasiha Rehaman,  Likitha M B,  Madiha Kounain

  Keywords

Autism Spectrum Disorder (ASD); Machine Learning (ML); Early and automated Diagnosis; Predictive Modeling; Behavioral Analysis; Support Vector Machine (SVM); Decision Tree; Random Forest; Deep Learning.

  Abstract


Autism Spectrum Disorder (ASD) is a developmental disorder that influences a person's communication, behavior, and social interaction. Some of the common symptoms are problems with eye contact, delayed language development, restricted use of gestures, and difficulties with playing or engaging in common social interactions. ASD children could have problems with understanding social cues or sustaining a conversation. These communication challenges are usually evident during early childhood and vary in intensity, ranging from mild to extreme. While some children might say very little or nothing at all, others might say words in unique ways, for instance, by repeating words or talking in a flat tone. In addition to the problems of communication, kids with ASD tend to exhibit stereotypical behaviors and limited interests. This can range from hand- flapping, routine repetitions, having an unusual attachment to specific items, or showing intense interest in specific topics. Others also show peculiar response to senses, such as over responding to sound, lights or texture. Since these symptoms begin to appear at a very tender age making them mild to severe, early detection is desirable. Early detection treatment via speech therapy, behavioral support, and educational interventions can markedly enhance the development and well-being of a child.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2509307

  Paper ID - 293519

  Page Number(s) - c662-c668

  Pubished in - Volume 13 | Issue 9 | September 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Bhagyashree P,  Maaria Tooba Khan,  Fasiha Rehaman,  Likitha M B,  Madiha Kounain,   "A Literature Review On Autism Spectrum Disorder (Asd) Detecton Using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 9, pp.c662-c668, September 2025, Available at :http://www.ijcrt.org/papers/IJCRT2509307.pdf

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Call For Paper March 2026
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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