Selected article for: "data set and high level"
Author: Loresto, Figaro L; Nunez, Lisa; Tarasenko, Lindsey; Pierre, Marie St.; Oja, Kenneth; Mueller, Mallory; Switzer, Bailey; Marroquin, Katherine; Kleiner, Catherine
Title: The nurse COVID and historical epidemics literature repository: Development, description, and summary
  • Cord-id: yox2ioy3
  • Document date: 2021_1_30
    • ID: yox2ioy3
    Snippet: 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 w
    Document: 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.

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