빅데이터를 활용한 월경통에 대한 국내 한방 치료 인식 조사 = Study on domestic awareness of Korean medicine treatment for dysmenorrhea using Big Data

다국어 초록 (Multilingual Abstract)

Objectives: The purpose of this study is to investigate the domestic awareness of Korean medicine treatment for dysmenorrhea.


Methods: We conducted word frequency analysis, 2-gram analysis, degree centrality analysis, and CONCOR analysis using big data searched for ‘월경통’, ‘생리통’, and ‘한방’ as main key words. The searching period was set from 2019 to 2023.


Results: The number of original text data searched through main key words was on the rise. Specific words related to Korean medicine treatment were in the top 100, words related to herbal medicine ranked particularly high. The top 100 words were divided into 4 clusters (A; Body parts or body substances related to dysmenorrhea, B; Symptoms that accompany dysmenorrhea, C; Physiological or pathological situations related to dysmenorrhea, and D; Treatment related words of dysmenorrhea) and some clusters showed close relationships between each others (B-C, B-D, and C-D).


Conclusions: Our results suggest that interest in Korean medicine treatment for dysmenorrhea is increasing. Also, as public understanding is estimated to be high, specific information such as method, process and mechanism of Korean medicine treatment seems to be needed.