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KCI
스콜라Purpose: The purpose of this study was to identify the major keywords, topics and trends in domestic research related to Integrated Nursing Care Service(INCS) using text network analysis and topic modeling. Methods: The study was con-ducted using the ...
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RISS 인기검색어
텍스트 네트워크분석과 토픽모델링을 활용한 간호·간병통합서비스 연구동향 분석 = Analysis of Trends in Research on Integrated Nursing Care Services Using Text Network Analysis and Topic Modeling
한글로보기https://www.riss.kr/link?id=A108783618
- 저자
- 발행기관
- 학술지명
- 권호사항
-
발행연도
2023
-
작성언어
-
- 주제어
-
KDC
517
-
등재정보
KCI등재후보
-
자료형태
학술저널
-
수록면
83-94(12쪽)
- 제공처
-
0
상세조회 -
0
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부가정보
다국어 초록 (Multilingual Abstract)
Purpose: The purpose of this study was to identify the major keywords, topics and trends in domestic research related to Integrated Nursing Care Service(INCS) using text network analysis and topic modeling. Methods: The study was con-ducted using the following five steps; (1) Collecting abstracts, (2) Text preprocessing in NetMiner 4. (3) Building a co-occurrence matrix (4) Analyzing the structure of the network, and (5) Clustering topic groups. From 2013 to 2021, 154 studies related to INCS were collected from the Korea Citation Index (KCI) database. Results: The core keywords with the highest degree centrality and betweenness centrality were ‘nurse’, ‘patient’, ‘hospital’, ‘satisfaction’, ‘job’, and ‘care’. In addition, the five topics derived from topic modeling considering the coherence score were ‘infra of INCS’, ‘nursing workforce’, ‘INCS’, ‘quality management of INCS’ and ‘experience of INCS’. Conclusion: This study provides the research trends for INCS. The findings of this study could be used to improve INCS and the stability of the services provided.
Purpose: The purpose of this study was to identify the major keywords, topics and trends in domestic research related to Integrated Nursing Care Service(INCS) using text network analysis and topic modeling. Methods: The study was con-ducted using the following five steps; (1) Collecting abstracts, (2) Text preprocessing in NetMiner 4. (3) Building a co-occurrence matrix (4) Analyzing the structure of the network, and (5) Clustering topic groups. From 2013 to 2021, 154 studies related to INCS were collected from the Korea Citation Index (KCI) database. Results: The core keywords with the highest degree centrality and betweenness centrality were ‘nurse’, ‘patient’, ‘hospital’, ‘satisfaction’, ‘job’, and ‘care’. In addition, the five topics derived from topic modeling considering the coherence score were ‘infra of INCS’, ‘nursing workforce’, ‘INCS’, ‘quality management of INCS’ and ‘experience of INCS’. Conclusion: This study provides the research trends for INCS. The findings of this study could be used to improve INCS and the stability of the services provided.
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