Establishing a carotid artery stenosis disease cohort for comparative effectiveness research using natural language processing.

Journal: Journal of vascular surgery
PMID: 34182027

Abstract

OBJECTIVE: Investigation of asymptomatic carotid stenosis treatment is hindered by the lack of a contemporary population-based disease cohort. We describe the use of natural language processing (NLP) to identify stenosis in patients undergoing carotid imaging.

Authors

  • Robert W Chang
    Division of Research, Kaiser Permanente Northern California, Oakland, Calif; Division of Vascular Surgery, Department of Surgery, The Permanente Medical Group, South San Francisco, Calif. Electronic address: robert.W.Chang@kp.org.
  • Lue-Yen Tucker
    Division of Research, Kaiser Permanente, Oakland, Calif.
  • Kara A Rothenberg
    Department of Surgery, University of California San Francisco - East Bay, Oakland, Calif.
  • Elizabeth M Lancaster
    Division of Vascular Surgery, Department of Surgery, University of California, San Francisco, San Francisco, Calif.
  • Andrew L Avins
    Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
  • Hui C Kuang
    Department of Vascular Surgery, The Permanente Medical Group, San Francisco, Calif.
  • Rishad M Faruqi
    Department of Vascular Surgery, The Permanente Medical Group, Santa Clara, Calif.
  • Mai N Nguyen-Huynh
    Division of Research, Kaiser Permanente, Oakland, Calif; Department of Neurology, The Permanente Medical Group, Walnut Creek, Calif.

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