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Autism Prediction using ai , ml nlp

  • Unique Paper ID: 162574
  • Volume: 10
  • Issue: 10
  • PageNo: 591-596
  • Abstract:
  • This study explores the use of machine learning algorithms for early detection of Autism Spectrum Disorder (ASD), a neurodevelopmental condition affecting linguistic, cognitive, and social abilities. The research uses various algorithms, including Support Vector Machines, Random Forest, Naïve Bayes, Logistic Regression, and K-Nearest Neighbours, to identify ASD indicators during its early stages. Logistic Regression is found to be the most accurate predictive model, with Random Forest achieving the highest accuracy at 89.23%. This research offers a cost-effective and timely screening approach for ASD, improving the quality of life for affected individuals.
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  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 10
  • PageNo: 591-596

Autism Prediction using ai , ml nlp

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