Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports.

Journal: Acta oncologica (Stockholm, Sweden)
Published Date:

Abstract

BACKGROUND: The widespread use of electronic patient-generated health data has led to unprecedented opportunities for automated extraction of clinical features from free-text medical notes. However, processing this rich resource of data for clinical and research purposes, depends on labor-intensive and potentially error-prone manual review. The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases.

Authors

  • Olivier Q Groot
    Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, Boston, MA 02114, USA.
  • Michiel E R Bongers
    Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, Boston, MA 02114, USA.
  • Aditya V Karhade
    Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Neal D Kapoor
    Department of Orthopaedic Surgery, Orthopaedic Oncology Service, Massachusetts General Hospital - Harvard Medical School, Boston, MA, USA.
  • Brian P Fenn
    Department of Orthopaedic Surgery, Orthopaedic Oncology Service, Massachusetts General Hospital - Harvard Medical School, Boston, MA, USA.
  • Jason Kim
    Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • J J Verlaan
    Department of Orthopaedic Surgery, University Medical Center Utrecht - Utrecht University, Utrecht, The Netherlands.
  • Joseph H Schwab
    Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: jhschwab@mgh.harvard.edu.