Natural language processing of radiology reports for identification of skeletal site-specific fractures.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: Osteoporosis has become an important public health issue. Most of the population, particularly elderly people, are at some degree of risk of osteoporosis-related fractures. Accurate identification and surveillance of patient populations with fractures has a significant impact on reduction of cost of care by preventing future fractures and its corresponding complications.

Authors

  • Yanshan Wang
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Saeed Mehrabi
    Secure Exchange Solution, Rockville, MD.
  • Sunghwan Sohn
    Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, USA.
  • Elizabeth J Atkinson
    Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN.
  • Shreyasee Amin
    Division of Rheumatology, Department of Medicine, Mayo Clinic, 200 1st ST SW, Rochester, MN, 55905, USA.
  • Hongfang Liu
    Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.