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배정호 ( Bae Jung-Ho ) - Baekseok Culture University College of Childhood Education
범은애 ( Burm Eun-Ae ) - Baekseok Culture University College of Nursing
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Abstract
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Purpose: The purpose of this study was to provide high-quality rehabilitation nursing through the analysis of academic big data in domestic rehabilitation nursing and to provide basic data for preparing a plan for supporting families who perform rehabilitation nursing.
Methods: This study is a literature review to explore research trends in rehabilitation nursing. We collected quantitative and qualitative data in the educational and academic information database (RISS) defined as the big data, and extracted keywords by the 'rehabilitation', and 'rehabilitation nursing'. The data were analyzed by’R’ Program. Word cloud and social network analysis were performed.
Results: In the field of domestic rehabilitation nursing study, the main keywords were patient, stroke, family, old man, depression, stress, and quality of life. As a result of sentiment analysis with the main keywords in domestic rehabilitation nursing, negative emotional words appeared 6 times higher than positive emotional words.
Conclusion: We suggested that it is also necessary to prepare emotional support plans for patients, family and nurses who are targeted for rehabilitation nursing.
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KeyWords
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학술 빅데이터, 빅데이터 분석, 재활 간호, 감성분석
Academic big data, Big data analysis, Rehabilitation nursing, Sentiment analysis
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원문 및 링크아웃 정보
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등재저널 정보
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