Attention deficit hyperactivity disorder prediction using Machine learning

Attention deficit hyperactivity disorder is a mental disorder and after a survey it can be concluded that 5% children and 3% adults are affected by this condition. It can cause learning disability in children which is not tolerable in this learning phase of life. Deep analysis is required of this disease because it is one of the hardest diseases to be diagnosed. The subtle symptoms of this disease are misunderstood most of the time. Most of the children are not properly diagnosed and always get remark by teacher that your child is not performing in class, he is not giving his best effort. Mental disorder is illness which deteriorate the whole life of a person when neglected. ADHD is the most severe and neglected mental disease found in children and in adults. We as a society found it very difficult and shameful to adopt the truth that he or she may be suffering from mental illness that is the main reason this kind of disease never get diagnosed and create difficulties for humans in future. In fact diagnosis of this kind of disease is very difficult to identify due to its very subtle symptoms. Experiment results illustrate the technical aid using the FMRI scans of the brain and unsupervised learning with a decent percentage of prediction accuracy.