Towards the Optimized Personalized Therapy of Speech Disorders by Data Mining Techniques

Abstract

Various speech disorders or language impairments can affect the whole life of a person. Discovered and treated in time, they can be corrected, most often in childhood. The use of information technology in order to assist and supervise speech disorder therapy allows specialists to collect a considerable volume of data about the personal or familial anamnesis, regarding various disorders or regarding the process of personalized therapy. These data can be the foundation of data mining processes that show interesting information for the design and adaptation of different therapies in order to obtain the best results in conditions of maximum efficiency. The aim of this paper is to make a short analyze of the use opportunity of the data mining techniques in order to improve the personalized therapy of speech disorders framework. We also present Logo-DM, a data mining system designed to be associated with TERAPERS system in order to provide information based on which one could improve the process of personalized therapy.