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http://dx.doi.org/10.15207/JKCS.2019.10.8.015

A Study on the Music Therapy Management Model Based on Text Mining  

Park, Seong-Hyun (Dept. of Computer Engineering, Kongju National University)
Kim, Jae-Woong (Dept. of Computer Engineering, Kongju National University)
Kim, Dong-Hyun (Dept. of Computer Engineering, Kongju National University)
Cho, Han-Jin (Dept. of Energy IT Engineering, Far East University)
Publication Information
Journal of the Korea Convergence Society / v.10, no.8, 2019 , pp. 15-20 More about this Journal
Abstract
Music therapy has shown many benefits in the treatment of disabled children and the mind. Today's music therapy system is a situation where no specific treatment system has been built. In order for the music therapist to make an accurate treatment, various music therapy cases and treatment history data must be analyzed. Although the most appropriate treatment is given to the client or patient, in reality a number of difficulties are followed due to several factors. In this paper, we propose a music therapy knowledge management model which convergence the existing therapy data and text mining technology. By using the proposed model, similar cases can be searched and accurate and effective treatment can be made for the patient or the client based on specific and reliable data related to the patient. This can be expected to bring out the original purpose of the music therapy and its effect to the maximum, and is expected to be useful for treating more patients.
Keywords
Convergence; Text Mining; Music Therapy; Knowledge Management; Data Analysis;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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