Paper title:

Does Data Mining Techniques Optimize the Personalized Therapy of Speech Disorders?

Published in: Issue 1, (Vol. 3) / 2009
Publishing date: 2009-04-14
Pages: 15-18
Author(s): Danubianu Mirela, Socaciu Tiberiu
Abstract. The development of the informational society has lead to the using of the information technology in the most diverse areas of life. Due to its major impact on the society the healthcare is one of these areas that has gain a lot of attention, specially for the early diagnosis and for the personalized therapy of different affections. Data mining-techniques for automate detecting of relevant patterns in databases- helps therapists to build personalized therapy programs by identifying and anticipating the needs and the evolution of different types of patients.
Keywords: Data Mining, Speech Disorder, Logaopedic Intervention
References:

 1. Danubianu M. (2003) Determinarea metodei optime de explorare a datelor pentru un sistem inteligent de evaluare a activităţii în turism, volumul „Tehnologii Informaţionale”, Suceava, pag.156-163, ISBN 793-666-059-1.

2. Danubianu M.(2005) Determinarea claselor pe baza tehnicii SBA, volumul seminarului “Procesare distribuită”, pag. 86-90, ISBN 973-666-177-6.

3. Fleisher, C. S., & Blenkhom, D. (2003) Controversies in competitive intelligence: The enduring issues. Westport, CT: Praeger.

4. Danubianu M. (2006) Using data mining techniques for decision support systems –Proceedings of the International Conference on Signal/Image Processing and Pattern Recognition -"UkrObraz-2006",pag. 19-22, August 28-31, 2006, Kiev, Ucraina.

5. Pentiuc., Ghe-St, MORARIU, N. Morariu, M, Pentiuc. L (2001) Intelligent System For Impact Prognosis Of The Economic Decisions At District Level, Advances in Electrical and Computer Engineering ISSN 1582-7445 - Volume 1(18), Number 1(15), 2001.

6. Zhao, L. J., & Zhu, D. (2003). Workflow resource selection from UDDI repositories with mobile agents. Proceedings of Web2003, USA.

7. Zhu, D., Premkumar, G., Zhang, X., & Chu, C. (2001). Data mining for network intrusion detection: A comparison of alternative methods. Decision Sciences, 32(4), 635-660.

8. Wirth, R. and Hipp, ( 2000) J. CRISP-DM: Towards a standard process model for data mining. In Proceedings of the 4th International Conference on the Practical Applications of Knowledge Discovery and Data Mining, pages 29-39, Manchester, UK.

9. Danubianu M. , Pentiuc S.G., Schipor O., Nestor M. , Ungurean I., (2008)Distributed Intelligent System for Personalized Therapy of Speech Disorders, Proceedings of ICCGI08, Atena

Back to the journal content
Creative Commons License
This article is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.
Home | Editorial Board | Author info | Archive | Contact
Copyright JACSM 2007-2024