Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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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
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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.

음악치료는 장애아동 및 정신치료에 많은 효과를 보이고 있다. 오늘날의 음악치료 시스템은 구체적인 치료 시스템이 구축되어 있지 않은 상황으로, 음악 치료사들이 정확한 치료를 하기 위해 다양한 음악치료 사례들과 치료 이력 데이터들을 분석하고, 해당 환자 또는 내담자에게 가장 적합한 치료를 시행해야 하지만, 현실은 여러 가지 요인들로 인해 많은 어려움이 따르고 있다. 이를 해결하고자 본 논문에서는 기존 치료 데이터와 텍스트 마이닝 기술을 융합한 음악치료 지식관리 모델을 제안한다. 제안 모델을 활용하면 유사한 사례검색 및 환자에 관련된 구체적이고 확실한 데이터들을 기반으로 환자 또는 내담자로 하여금 정확하고 효과적인 치료가 가능하다. 이를 통해서 음악치료의 본래 목적과 그 효과를 최대로 이끌어 내는 효과를 기대할 수 있고 나아가 많은 환자들의 치료에 도움이 될 것으로 기대된다.

Keywords

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