Semiautomated Extraction of Research Topics and Trends From National Cancer Institute Funding in Radiological Sciences From 2000 to 2020.

Journal: International journal of radiation oncology, biology, physics
Published Date: Jan 25, 2025

Abstract

PURPOSE: Investigators and funding organizations desire knowledge on topics and trends in publicly funded research but current efforts for manual categorization have been limited in breadth and depth of understanding. We present a semiautomated analysis of 21 years of R-type National Cancer Institute (NCI) grants to departments of radiation oncology and radiology using natural language processing.

Authors

  • Mark H Nguyen
    University of Washington School of Medicine.
  • Peter G Beidler
    University of Washington School of Medicine.
  • Joseph Tsai
    Department of Radiation Oncology, University of Washington.
  • August Anderson
    Department of Radiation Oncology, University of Washington.
  • Daniel Chen
    Boston CSPCC, VA Boston Healthcare System.
  • Paul E Kinahan
    Department of Radiology and Bioengineering, University of Washington, Box 357987, Seattle, WA 98105, USA.
  • John Kang
    Department of Radiation Oncology, University of Washington, Seattle, Washington, USA.

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