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The nurse COVID and historical epidemics literature repository: Development, description, and summary.
Loresto, Figaro L; Nunez, Lisa; Tarasenko, Lindsey; Pierre, Marie St; Oja, Kenneth; Mueller, Mallory; Switzer, Bailey; Marroquin, Katherine; Kleiner, Catherine.
  • Loresto FL; Division of Patient Care Services, Children's Hospital Colorado, Aurora, CO; University of Colorado College of Nursing, CU Anschutz, Aurora, CO. Electronic address: floresto84@gmail.com.
  • Nunez L; Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX.
  • Tarasenko L; Division of Patient Care Services, Children's Hospital Colorado, Aurora, CO; University of Colorado College of Nursing, CU Anschutz, Aurora, CO.
  • Pierre MS; Division of Patient Care Services, Children's Hospital Colorado, Aurora, CO.
  • Oja K; Nursing Education and Research, Denver Health, Denver, CO.
  • Mueller M; Division of Patient Care Services, Children's Hospital Colorado, Aurora, CO.
  • Switzer B; Division of Patient Care Services, Children's Hospital Colorado, Aurora, CO.
  • Marroquin K; Division of Patient Care Services, Children's Hospital Colorado, Aurora, CO.
  • Kleiner C; Division of Patient Care Services, Children's Hospital Colorado, Aurora, CO; University of Colorado College of Nursing, CU Anschutz, Aurora, CO.
Nurs Outlook ; 69(3): 257-264, 2021.
Article in English | MEDLINE | ID: covidwho-1059614
ABSTRACT

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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Publications / Nursing Research / Program Development / Data Mining / Datasets as Topic / COVID-19 Type of study: Diagnostic study / Prognostic study / Reviews Limits: Humans Language: English Journal: Nurs Outlook Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Publications / Nursing Research / Program Development / Data Mining / Datasets as Topic / COVID-19 Type of study: Diagnostic study / Prognostic study / Reviews Limits: Humans Language: English Journal: Nurs Outlook Year: 2021 Document Type: Article