Targeting COVID-19 and Human Resources for Health News Information Extraction: Algorithm Development and Validation.

ABSTRACT:

Background

Global pandemics like COVID-19 put a high amount of strain on health care systems and health workers worldwide. These crises generate a vast amount of news information published online across the globe. This extensive corpus of articles has the potential to provide valuable insights into the nature of ongoing events and guide interventions and policies. However, the sheer volume of information is beyond the capacity of human experts to process and analyze effectively.

Objective

The aim of this study was to explore how natural language processing (NLP) can be leveraged to build a system that allows for quick analysis of a high volume of news articles. Along with this, the objective was to create a workflow comprising human-computer symbiosis to derive valuable insi

SUBMITTER: Ravaut M 

PROVIDER: S-EPMC11561429 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature