Development of a Natural Language Processing Engine to Generate Bladder Cancer Pathology Data for Health Services Research.

Journal: Urology
Published Date:

Abstract

OBJECTIVE: To take the first step toward assembling population-based cohorts of patients with bladder cancer with longitudinal pathology data, we developed and validated a natural language processing (NLP) engine that abstracts pathology data from full-text pathology reports.

Authors

  • Florian R Schroeck
    VA Outcomes Group, White River Junction VA Medical Center, White River Junction, VT; Section of Urology, Dartmouth Hitchcock Medical Center, Lebanon, NH; Norris Cotton Cancer Center, Dartmouth Hitchcock Medical Center, Lebanon, NH; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, Hanover, NH. Electronic address: florian.r.schroeck@dartmouth.edu.
  • Olga V Patterson
    VA Salt Lake City Health Care System.
  • Patrick R Alba
    VA Salt Lake City Health Care System.
  • Erik A Pattison
    VA Outcomes Group, White River Junction VA Medical Center, White River Junction, VT; Section of Urology, Dartmouth Hitchcock Medical Center, Lebanon, NH.
  • John D Seigne
    Dartmouth-Hitchcock Medical Center Lebanon, New Hampshire.
  • Scott L DuVall
    VA Salt Lake City Health Care System.
  • Douglas J Robertson
    VA Outcomes Group, White River Junction VA Medical Center, White River Junction, VT; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, Hanover, NH.
  • Brenda Sirovich
    VA Outcomes Group, White River Junction VA Medical Center, White River Junction, VT; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, Hanover, NH.
  • Philip P Goodney
    VA Outcomes Group, White River Junction VA Medical Center, White River Junction, VT; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, Hanover, NH.