基于数据挖掘的中医药防治血吸虫病的特征分析及演进规律研究

Characteristics and evolutionary patterns of traditional Chinese medicine in the prevention and treatment of schistosomiasis based on data mining

目的 运用数据挖掘技术分析中医药防治血吸虫病的特征,并对研究演进规律进行归纳总结。方法 以“血吸虫”和“中医”或“中医药治疗”或“中医药大学”或“中医证候”或“中医辨证”或“中医临床”为关键词,在中国知网与万方数据库中系统检索并筛选建库截至2024年4月21日的相关文献。然后,运用数据挖掘技术对文献进行描述性分析及关联分析。结果 共筛选出符合要求的381篇文献,文献发表数量以1月份为最多。学术期刊是主要的信息来源,约占总体的88.98%。此外,涉及541位作者,其中医院是最主要的作者单位。通过关键词共现分析得出研究热点主要包括血吸虫病、肝纤维化、公共卫生和防治。结论 基于数据挖掘技术对文献进行统计研究,深入分析了中医药在防治血吸虫病领域的特征和发展趋势,为未来相关研究和实践提供了理论指导和实际借鉴。

Objective To analyze the characteristics of traditional Chinese medicine(TCM)in the prevention and treatment of schistosomiasis using data mining techniques and summarize the evolution trend.Methods Using keywords including“schistosomiasis”and“traditional Chinese medicine”or“TCM treatment”or“TCM university”or“TCM syndrome differentiation”or“TCM clinical practice”,we systematically retrieved and screened relevant literature from the China National Knowledge Infrastructure(CNKI)and WanFang Database from the inception to April 21,2024.Data mining techniques were employed to conduct a descriptive analysis and a correlation analysis on the included literature.Results A total of 381 articles that met the criteria were screened,with the highest number of publications occurring in January.Academic journals were the main source of information,accounting for approximately 88.98%of the total.Additionally,541 authors were involved,with hospitals being the most predominant author affiliations.Keyword co-occurrence analysis showed that the main research hotspots included schistosomiasis,liver fibrosis,public health,and prevention.Conclusion Based on statistical research of the literature using data mining techniques,this study provided an in-depth analysis of the characteristics and development trend of TCM in prevention and treatment of schistosomiasis.It offers theoretical guidance and practical references for future related research and practices.