An Automated Literature Review Tool (LiteRev) for Streamlining and Accelerating Research Using Natural Language Processing and Machine Learning: Descriptive Performance Evaluation Study.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: Literature reviews (LRs) identify, evaluate, and synthesize relevant papers to a particular research question to advance understanding and support decision-making. However, LRs, especially traditional systematic reviews, are slow, resource-intensive, and become outdated quickly.

Authors

  • Erol Orel
    Institute of Global Health, University of Geneva, Geneva, Switzerland.
  • Iza Ciglenecki
    Médecins Sans Frontières, Geneva, Switzerland.
  • Amaury Thiabaud
    Institute of Global Health, University of Geneva, Geneva, Switzerland.
  • Alexander Temerev
    Institute of Global Health, University of Geneva, Geneva, Switzerland.
  • Alexandra Calmy
    Division of Infectious Diseases, University Hospital Geneva, University of Geneva, Geneva, Switzerland.
  • Olivia Keiser
    Institute of Global Health, University of Geneva, Geneva, Switzerland.
  • Aziza Merzouki
    Institute of Global Health, University of Geneva, Geneva, Switzerland.