Development and Evaluation of Natural Language Processing Methods for Extracting Key Melanoma Pathology Concepts.

Journal: Studies in health technology and informatics
Published Date: Aug 7, 2025

Abstract

This study presents the development and evaluation of an annotation schema and rule-based natural language processing (NLP) system for extracting key melanoma pathology concepts from surgical pathology reports. Achieving high precision and recall, our system addresses melanoma's complex staging criteria for use in downstream staging and cohort recruitment operational needs.

Authors

  • Johnathan C Stanley
    Department of Chemistry and Biochemistry, Brigham Young University Provo Utah 84602 USA dhe@chem.byu.edu.
  • Mengke Hu
    Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States.
  • Cecelia J Madison
    Portland VA Medical Center, Portland, OR, USA.
  • Jianlin Shi
    University of Utah, Salt Lake City, UT, USA.
  • Tiffany Quilter
    VA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
  • Lacy Castleton
    VA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
  • Elizabeth E Hanchrow
  • Julie A Lynch
    VA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
  • Wesley Y Yu
    Portland VA Medical Center, Portland, Oregon, USA.
  • Patrick R Alba
    VA Salt Lake City Health Care System.

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