Use of Natural Language Processing to Infer Sites of Metastatic Disease From Radiology Reports at Scale.

Journal: JCO clinical cancer informatics
PMID:

Abstract

PURPOSE: To evaluate natural language processing (NLP) methods to infer metastatic sites from radiology reports.

Authors

  • See Boon Tay
    Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
  • Guat Hwa Low
    Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
  • Gillian Jing En Wong
    NUS Yong Loo Lin School of Medicine, Singapore, Singapore.
  • Han Jieh Tey
    Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
  • Fun Loon Leong
    Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
  • Constance Li
    Data and Computational Science Core, National Cancer Centre Singapore, Singapore, Singapore.
  • Melvin Lee Kiang Chua
    Division of Radiation Oncology, National Cancer Centre Singapore, 11 Hospital Crescent, 169610, Singapore; Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Crescent, 169610, Singapore; Oncology Academic Clinical Program, Duke-NUS Medical School, 8 College Road, 169857, Singapore. Electronic address: melvin.chua.l.k@singhealth.com.sg.
  • Daniel Shao Weng Tan
    Division of Medical Oncology, National Cancer Centre, Singapore, Singapore.
  • Choon Hua Thng
    Singapore Duke-NUS Medical School, Singapore, Singapore.
  • Iain Bee Huat Tan
    Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
  • Ryan Shea Ying Cong Tan
    Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.