Model of a Data Mining System for Personalized Therapy of Speech Disorders
This work addresses the need for better personalized therapy tools for children with speech disorders, but it appears incremental as it builds on an existing system without claiming major breakthroughs.
The paper tackles the problem of improving personalized therapy for speech disorders by developing a data mining system to analyze collected therapy data, aiming to provide actionable information for therapy enhancement.
Lately, the children with speech disorder have more and more become object of specialists attention and investment in speech disorder therapy are increasing The development and use of information technology in order to assist and follow speech disorder therapy allowed researchers to collect a considerable volume of data. The aim of this paper is to present 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 of speech disorders.