Title :
Using data mining approach for personalizing the therapy of dyslalia
Author :
Danubianu, Mirela ; Tobolcea, Iolanda
Abstract :
The use of information technology for assist the speech disorder therapy allows collecting a huge volume of data. This data may be the foundation of a data mining process that can offer models, which lead to the optimization of therapy through its personalization. This paper aims to analyze how useful is data mining in logopaedic area and to present a proposed data mining system for optimize the decision regarding the personalized therapy of dyslalia.
Keywords :
biomedical communication; data mining; medical computing; medical disorders; medical information systems; optimisation; patient treatment; speech; data mining system; dyslalia therapy; information technology; logopaedic area; optimization; personalized therapy; speech disorder therapy; Association rules; Data models; Databases; Pediatrics; Speech; data mining system; dyslalia; personalized therapy;
Conference_Titel :
E-Health and Bioengineering Conference (EHB), 2011
Conference_Location :
Iasi
Print_ISBN :
978-1-4577-0292-1
