Advancing equity in breast cancer care: natural language processing for analysing treatment outcomes in under-represented populations.

Journal: BMJ health & care informatics
Published Date: Jul 1, 2024

Abstract

OBJECTIVE: The study aimed to develop natural language processing (NLP) algorithms to automate extracting patient-centred breast cancer treatment outcomes from clinical notes in electronic health records (EHRs), particularly for women from under-represented populations.

Authors

  • Jung In Park
    Department of Medicine, Center for Biomedical Informatics Research, Stanford University, Stanford, CA.
  • Jong Won Park
    Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Kexin Zhang
    Centre for Automation and Robotics (CAR) UPM-CSIC, Universidad Politécnica de Madrid (UPM), 28006 Madrid, Spain.
  • Doyop Kim
    Independent Researcher, Irvine, California, USA.

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