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September 10, 2025Open Access

An AI-Based Screening System for Adhd in Real-World Clinical

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Authors

SRS. Krishna ReddyARAlla Poorna Chandra ReddySTS. Ravi Teja

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Overview

This novel system uses machine learning techniques to enhance ADHD diagnosis accuracy, indicating promise for early intervention.

Key Points

  • The system shows exceptional performance, achieving 94.0% accuracy using support vector machine techniques.
  • Results reveal improved ADHD detection through a user-friendly interface and advanced data preprocessing methods.
  • This approach uses a logistic regression classifier to model complex relationships in movement data for ADHD classification.
  • Enhanced diagnostic consistency and early intervention support make this system a practical tool in real-world clinical settings.

Cite This Study

Reddy et al. (2025) studied this question.

synapsesocial.com/papers/68c1dd9254b1d3bfb60fbf96https://doi.org/10.62643/ijerst.v21.n3(1).pp1450-1458
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