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

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.

Dis

SUBMITTER: Loresto FL 

PROVIDER: S-EPMC7846882 | biostudies-literature | 2021 May-Jun

REPOSITORIES: biostudies-literature