Reducing systematic review burden using Deduklick: a novel, automated, reliable, and explainable deduplication algorithm to foster medical research.

Journal: Systematic reviews
Published Date: Aug 17, 2022

Abstract

BACKGROUND: Identifying and removing reference duplicates when conducting systematic reviews (SRs) remain a major, time-consuming issue for authors who manually check for duplicates using built-in features in citation managers. To address issues related to manual deduplication, we developed an automated, efficient, and rapid artificial intelligence-based algorithm named Deduklick. Deduklick combines natural language processing algorithms with a set of rules created by expert information specialists.

Authors

  • Nikolay Borissov
    Risklick AG, Spin-off University of Bern, Bern, Switzerland.
  • Quentin Haas
    Risklick AG, Spin-off University of Bern, Bern, Switzerland.
  • Beatrice Minder
    Public Health & Primary Care Library, University Library of Bern, University of Bern, Bern, Switzerland.
  • Doris Kopp-Heim
    Public Health & Primary Care Library, University Library of Bern, University of Bern, Bern, Switzerland.
  • Marc von Gernler
    Medical Library, University Library of Bern, University of Bern, Bern, Switzerland.
  • Heidrun Janka
    Medical Library, University Library of Bern, University of Bern, Bern, Switzerland.
  • Douglas Teodoro
    Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.
  • Poorya Amini
    Risklick AG, Spin-off University of Bern, Bern, Switzerland.

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