Trends in stroke-related journals: Examination of publication patterns using topic modeling.

Journal: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Published Date: Feb 25, 2024

Abstract

OBJECTIVES: This study aims to demonstrate the capacity of natural language processing and topic modeling to manage and interpret the vast quantities of scholarly publications in the landscape of stroke research. These tools can expedite the literature review process, reveal hidden themes, and track rising research areas.

Authors

  • Burak Berksu Ozkara
    Department of Neuroradiology, MD Anderson Cancer Center, Houston, TX, USA.
  • Mert Karabacak
    Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA.
  • Konstantinos Margetis
    Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA.
  • Wade Smith
    Department of Radiation Oncology, University of Washington, Seattle, WA, USA.
  • Max Wintermark
    Department of Radiology, Stanford University, Stanford, California, USA.
  • Vivek Srikar Yedavalli
    Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, 600 N Wolfe Street, Baltimore, MD, 21287, USA. Electronic address: vyedava1@jhmi.edu.

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