| 텍스트 마이닝을 이용한 대한응급의학회지 중심단어 분석 |
황기천1, 조규종1, 손유동2
, 조영석1, 이진혁1, 이현정1, 차현민1, 장형우1 |
1한림대학교 의과대학 강동성심병원 응급의학과
2서울특별시 보라매병원 응급의학과 |
| Keywords analysis of the Journal of the Korean Society of Emergency Medicine using text mining |
| Ki Cheon Hwang1, Gyu Chong Cho1, Youdong Sohn2
, Youngsuk Cho1, Jinhyuck Lee1, Hyung Jung Lee1, Hyun Min Cha1, Hyung Woo Chang1 |
1Department of Emergency Medicine, Hallym University Kangdong Sacred Heart Hospital, Hallym University School of Medicine, Seoul, Korea
2Department of Emergency Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea |
| Correspondence |
Youdong Sohn ,Tel: 02-870-2666, Fax: 02-831-2826, Email: medysohn@gmail.com,
|
|
|
Received: October 19, 2018; Revised: October 23, 2018 Accepted: October 24, 2018. Published online: February 28, 2019. |
|
|
|
| ABSTRACT |
Objective:
Data mining extracts meaningful information from large datasets. In this study, text mining techniques were used to extract keywords from the Journal of the Korean Society of Emergency Medicine, and the change trend was examined.
Method:
The rvest package in R was used to extract all papers published in the Journal of the Korean Society of Emergency Medicine from 2006 to 2016 that could be searched online. Among them, 3,952 keywords were extracted and studied. Using the selected keywords, the corpus was formed by refining keywords that did not correspond to MeSH (Medical Subject Headings) or were misspelled and had similar meanings based on agreement of researchers. Using the refined keywords, the frequencies of the keywords in the first and second halves of the studies were calculated and visualized.
Results:
Word Cloud revealed that emergency medical service and cardiopulmonary resuscitation (CPR) were most frequently mentioned in both the first and second halves of the studies. In the first half, ultrasonography, stroke, poisoning, injury, and education were frequently mentioned, while in the second half, poisoning, injury, stroke, acute, and tomography were frequently mentioned. A pyramid graph revealed that the frequencies of emergency medical service and CPR were commonly high.
Conclusion:
Core keywords of the Journal of the Korean Society of Emergency Medicine were analyzed for correlations and trends. Changes in study topics according to key topics of interest and period were visually identified. |
| Key words:
Data mining; Journal article; Emergency medicine |
|
PDF Links
Full text via DOI 
Download Citation 
