Prediction
Attention Deficit Hyperactivity Disorder (ADHD)
Artificial
Intelligence
KNN
AdaBoost
XGBoost
Pearson correlation.
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Attention-Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental
disorder affecting millions of people globally, is defined by symptoms of
hyperactivity, impulsivity, and inattention that can significantly affect an
individual's daily life. The diagnostic process for ADHD is complex, requiring a
combination of clinical assessments and subjective evaluations. However, recent
advances in artificial intelligence (AI) techniques have shown promise in predicting
ADHD and providing an early diagnosis. In this study, we will explore the
application of two AI techniques, K-Nearest Neighbors (KNN) and Adaptive
Boosting (AdaBoost), in predicting ADHD using the Python programming
language. The classification accuracies obtained w
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