Sistema especialista para prognóstico de distúrbios de aprendizagem em TDAH

Abstract

In the academic setting, Attention Deficit Hyperactivity Disorder (ADHD) not diagnosed or incorrectly diagnosed compromises the work of the teacher with the student. Using computational intelligence, this work aims to mplement a knowledge base of human ADHD specialists to diagnose children and adolescents of school age. The base will be hosted on Shell Expert Sinta for validation and an prior diagnosis. The acquisition of specialist knowledge will happen first, through a current literary study with the Brazilian Association of Attention Deficit (ABDA) where there is a concern to understand ADHD. In a second moment, a SNAP-IV questionnaire will be used, which was constructed as a starting point for the collection of some possible primary symptoms of ADHD from the symptoms of the Diagnostic and Statistical Manual - IV (DSM-IV) of the American Psychiatric Association. This questionnaire is used to make a previous diagnosis in order to demystify whether or not people are carriers of the disorder. This data collection tool will later be used to codify the rules of the SE base.