Intelligent Classification System for Childhood Neurodevelopmental Disorders

The diagnosis of neurodevelopmental disorders in children from 0 to 18 years of age is an extremely complex process which involves the participation of professionals from various medical specialties. Late detection and treatment of these disorders can lead to significant complications in educational development, social interactions, as well as mental health, generating stress and other difficulties in both children and their families. Access to specialized personnel for the diagnosis of these disorders becomes complex, in particular in developing societies, therefore teachers who interact directly with these children in educational centers require tools that facilitate the early detection of these cases so that they can be attended to by the different institutions or multidisciplinary groups dedicated to this purpose. Therefore, the objective of this research is to develop a computer tool for mobile devices that allows teachers and family doctors to obtain a preliminary diagnosis of neurodevelopmental disorders in childhood. In this paper we have applied several research methods, i.e., Analysis-Synthesis, modeling, system approach, interviews with experts, and a comparative study, in order to determine the accuracy of the diagnostic agreement to validate the use of the application in the diagnostic process.