护士 COVID 和历史流行病文献知识库：开发、描述和总结。
The nurse COVID and historical epidemics literature repository: Development, description, and summary.
机构信息
Division of Patient Care Services, Children's Hospital Colorado, Aurora, CO; University of Colorado College of Nursing, CU Anschutz, Aurora, CO.
Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX.
出版信息
Nurs Outlook. 2021 May-Jun;69(3):257-264. doi: 10.1016/j.outlook.2020.12.017. Epub 2021 Jan 30.
BACKGROUND
During COVID-19, a Kaggle challenge was issued to data scientists to leverage text mining to provide high-level summaries of full-text articles in the COVID-19 Open Research Dataset (CORD-19) data set, a data set containing articles around COVID-19 and other epidemics. A question was asked: "What if nursing had something similar?"
PURPOSE
Describe the development and function of the Nursing COVID and Historical Epidemic Literature and describe high-level summaries of abstracts within the repository.
METHOD
Nurse-specific literature was abstracted from two data sets: CORD-19 and LitCOVID. LitCOVID is a data set containing the most up-to-date literature around COVID-19. Multiple text mining algorithms were utilized to provide summaries of the articles.
DISCUSSION
As of July 2020, the repository contains 760 articles. Summaries indicate the importance of psychological support for nurses and of high-impact rapid education.
CONCLUSION
To our knowledge, this repository is the only repository specific for nursing that utilizes text mining to provide summaries.
背景
在 COVID-19 期间，Kaggle 挑战赛向数据科学家们提出了一项任务，要求他们利用文本挖掘技术，从 COVID-19 开放研究数据集（CORD-19）中提供全文文章的高级摘要，该数据集包含了与 COVID-19 和其他传染病相关的文章。问题是：“如果护理也有类似的东西会怎样？”
目的
描述护理 COVID 和历史流行文献库的开发和功能，并描述该存储库中摘要的高级摘要。
方法
从两个数据集（CORD-19 和 LitCOVID）中提取了特定于护士的文献。LitCOVID 是一个包含最新 COVID-19 相关文献的数据集。利用多种文本挖掘算法提供文章摘要。
讨论
截至 2020 年 7 月，该存储库包含 760 篇文章。摘要表明了为护士提供心理支持和高影响力快速教育的重要性。
结论
据我们所知，这个存储库是唯一一个利用文本挖掘技术提供摘要的专门针对护理的存储库。
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