Characterization of patients with advanced chronic pancreatitis using natural language processing of radiology reports.

Journal: PloS one
PMID: 32813684

Abstract

STUDY AIM: To develop and apply a natural language processing algorithm for characterization of patients diagnosed with chronic pancreatitis in a diverse integrated U.S. healthcare system.

Authors

  • Fagen Xie
    Kaiser Permanente Southern California, Pasadena, CA, USA.
  • Qiaoling Chen
    Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America.
  • Yichen Zhou
    Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America.
  • Wansu Chen
    Kaiser Permanente Southern California, Pasadena, CA, USA.
  • Jemianne Bautista
    Department of Radiology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, California, United States of America.
  • Emilie T Nguyen
    Department of Radiology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, California, United States of America.
  • Rex A Parker
    Department of Radiology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, California, United States of America.
  • Bechien U Wu
    Center for Pancreatic Care, Division of Gastroenterology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, California, United States of America.

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