Natural Language Processing Algorithm to Extract Multiple Myeloma Stage From Oncology Notes in the Veterans Affairs Healthcare System.

Journal: JCO clinical cancer informatics
PMID: 39038255

Abstract

PURPOSE: Stage in multiple myeloma (MM) is an essential measure of disease risk, but its measurement in large databases is often lacking. We aimed to develop and validate a natural language processing (NLP) algorithm to extract oncologists' documentation of stage in the national Veterans Affairs (VA) Healthcare System.

Authors

  • Sergey D Goryachev
    Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Boston, MA.
  • Cenk Yildirim
    Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Boston, MA.
  • Clark DuMontier
    New England Geriatrics Research, Education and Clinical Center, VA Boston Healthcare System, Boston, MA.
  • Jennifer La
    VA Boston Healthcare System, Boston, MA, USA.
  • Mayuri Dharne
    VA Boston Healthcare System, Boston, MA.
  • J Michael Gaziano
    Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Boston, MA, USA.
  • Mary T Brophy
    VA Boston Healthcare System, Boston, MA, USA.
  • Nikhil C Munshi
    VA Boston Healthcare System, Boston, MA.
  • Jane A Driver
    New England Geriatrics Research, Education and Clinical Center, VA Boston Healthcare System, Boston, MA.
  • Nhan V Do
    VA Boston Healthcare System, Boston, MA, USA.
  • Nathanael R Fillmore
    Harvard Medical School, Boston, MA, USA.

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