Classification of Attention Deficit Hyperactivity Disorder using Machine Learning

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects a person’s brain activity. Many individuals are suffering from it unknowingly which affects their daily lives. With the help of Machine Learning, our goal is to design a tool that will help diagnose ADHD easier. The main conclusion of the tool is to provide a clear understanding of the symptoms that one might be experiencing. The tool uses an appropriately chosen Machine Learning algorithm to help in more accurate diagnosis, which includes the stage of ADHD being presented. The chosen Machine Learning Algorithm, Naive Bayes, has shown an accuracy of 82.5, Precision of 91 and Sensitivity of 91.