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

텍스트 마이닝 기반의 음악치료 관리 모델에 관한 연구

  • 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)
  • 박성현 (공주대학교 컴퓨터공학과) ;
  • 김재웅 (공주대학교 컴퓨터공학과) ;
  • 김동현 (공주대학교 컴퓨터공학과) ;
  • 조한진 (극동대학교 에너지IT공학과)
  • Received : 2019.07.02
  • Accepted : 2019.08.20
  • Published : 2019.08.28

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

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