Automatic Diagnosis of Attention Deficit/Hyperactivity Disorder

Abstract

Due to increased exposure to gadgets, social media, competition and other issues, there is an increase in mental health imbalance which leading to mental disorder. Mental health diagnosis is required at early teenage stage so as to prevent further adversities for the patient and the society. Diagnosing of Attention Deficit/Hyperactivity Disorder requires multiple visits to the doctor. Proposed model which is a developed Web application would help diagnosis of Attention Deficit/Hyperactivity Disorder quickly, saving the time of doctor and the patient. Automation of Attention Deficit/Hyperactivity Disorder diagnosis would help to save the time of patient and Consultant, leading to quick treatment. Earlier work states about manual testing, offline questionnaire, Conners test, etc., which requires more time and appointments to be completed. Our model would conduct four different audio–visual tests to check symptoms stated in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). It provides a report based on the tests which doctor would refer to detect Attention Deficit/Hyperactivity Disorder in the patient with less time as compared to existing methodology.