| Project/Area Number |
25510022
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
ケア学
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| Research Institution | The Japanese Red Cross Hiroshima College of Nursing |
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Principal Investigator |
KOSEKI Yuji 日本赤十字広島看護大学, 看護学部, 教授 (10373127)
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| Co-Investigator(Kenkyū-buntansha) |
NISHISHITA Akitoshi 東京経済大学, 現代法学部, 教授 (80156067)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
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| Keywords | ケア記録 / テキストマイング / 通所介護 / テキストマイニング / ケア記録の電子化 |
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| Outline of Final Research Achievements |
This study aims to digitize care service records at day Service centers and investigate methods of utilizing the results of the analysis by applying text mining(TM) to text data that has been collected from records entered.
We carried out text mining on free input data over 18 months. When observing the results, the matching between the short-term objective categories and the classification items obtained through care record text mining was low. In terms of factors causing this, it is conceivable that, as short-term objectives are not defined in concrete terms and the approach to short-term objectives is not covered, mismatches occur with the records.
TM is also possible to use it to understand kinds of issues mentioned above. Based on the results of the text mining, it is considered that performing additional multivariate analysis, such as principal component analysis or correspondence analysis, is significant in the developing use of care records.
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