The nurse COVID and historical epidemics literature repository: Development, description, and summary

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 ask...

Descripción completa

Detalles Bibliográficos
Autores principales: Loresto, Figaro L, Nunez, Lisa, Tarasenko, Lindsey, Pierre, Marie St., Oja, Kenneth, Mueller, Mallory, Switzer, Bailey, Marroquin, Katherine, Kleiner, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846882/
https://www.ncbi.nlm.nih.gov/pubmed/33526252
http://dx.doi.org/10.1016/j.outlook.2020.12.017
Descripción
Sumario: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.

Ejemplares similares