新冠疫情期间的健康信息技术：通过文本挖掘进行的综述
Health Information Technology During the COVID-19 Epidemic: A Review via Text Mining.
作者信息
Dastani Meisam, Atarodi Alireza
机构信息
Social Determinants of Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
Department of Knowledge and Information Science, Paramedical College and Social Development & Health Promotion Research Center,, Gonabad University of Medical Sciences, Gonabad, Iran.
出版信息
Online J Public Health Inform. 2022 Aug 11;14(1):e3. doi: 10.5210/ojphi.v14i1.11090. eCollection 2022.
BACKGROUND
Due to the prevalence of the COVID-19 epidemic in all countries of the world, the need to apply health information technology is of great importance. hence, the study has identified the role of health information technology during the period of the COVID-19 epidemic.
METHODS
The present research is a review study by employing text mining techniques. Therefore, 941 published documents related to health information technology's role during the COVID-19 epidemic were extracted by keyword searching in the Web of Science database. In order to analyze the data and implement the text mining and topic modeling algorithms, Python programming language was applied.
RESULTS
The results indicated that the highest number of publications related to the role of health information technology in the period of the COVID-19 epidemic was respectively on the following topics: "Models and smart systems," "Telemedicine," "Health care," "Health information technology," "Evidence-based medicine," "Big data and Statistic analysis."
CONCLUSION
Health information technology has been extensively used during the COVID-19 epidemic. Therefore, different communities can apply these technologies, considering the conditions and facilities to manage the COVID-19 epidemic better.
背景
由于新冠疫情在世界各国的流行，应用健康信息技术的需求至关重要。因此，本研究确定了健康信息技术在新冠疫情期间的作用。
方法
本研究是一项采用文本挖掘技术的综述研究。因此，通过在科学网数据库中进行关键词搜索，提取了941篇与健康信息技术在新冠疫情期间的作用相关的已发表文献。为了分析数据并实施文本挖掘和主题建模算法，应用了Python编程语言。
结果
结果表明，在新冠疫情期间，与健康信息技术作用相关的出版物数量最多的分别是以下主题：“模型与智能系统”“远程医疗”“医疗保健”“健康信息技术”“循证医学”“大数据与统计分析”。
结论
健康信息技术在新冠疫情期间得到了广泛应用。因此，不同社区可以根据条件和设施应用这些技术，以更好地管理新冠疫情。
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