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KMID : 1034520180120020067
Journal of Occupational Therapy for the Aged and Dementia
2018 Volume.12 No. 2 p.67 ~ p.74
Occupational Therapy in Long-Term Care Insurance For the Elderly Using Text Mining
Cho Min-Seok

Baek Soon-Hyung
Park Eom-Ji
Park Soo-Hee
Abstract
Objective : The purpose of this study is to quantitatively analyze the role of occupational therapy in long - term care insurance for the elderly using text mining, one of the big data analysis techniques.

Method : For the analysis of newspaper articles, ¡°Long - Term Care Insurance for the Elderly + Occupational Therapy for the Elderly¡± was collected after the period from 2007 to 208.
Naver, which has a high share of the domestic search engine, utilized the database of Naver News by utilizing Textom, a web crawling tool. After collecting the article title and original text of 510 news data from the collection of the elderly long term care insurance + occupational therapy search, we analyzed the article frequency and key words by year.

Result : In terms of the frequency of articles published by year, the number of articles published in 2015 and 2017 was the highest with 70 articles (13.7%), and the top 10 terms of the key word analysis showed the highest frequency of 'dementia' (344) In terms of key words, dementia, treatment, hospital, health, service, rehabilitation, facilities, institution, grade, elderly, professional, salary, industrial complex and people are related.

Conclusion : In this study, it is meaningful that the textual mining technique was used to more objectively confirm the social needs and the role of the occupational therapist for the dementia and rehabilitation in the related key keywords based on the media reporting trend of the elderly long - term care insurance for 11 years. Based on the results of this study, future research should expand research field and period and supplement the research methodology through various analysis methods according to the year.
KEYWORD
Long-term care insurance for the elderly, Occupational therapy, Text mining
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