Extracting Systemic Anticancer Therapy and Response Information From Clinical Notes Following the RECIST Definition.

Journal: JCO clinical cancer informatics
Published Date: Jun 1, 2024

Abstract

PURPOSE: The RECIST guidelines provide a standardized approach for evaluating the response of cancer to treatment, allowing for consistent comparison of treatment efficacy across different therapies and patients. However, collecting such information from electronic health records manually can be extremely labor-intensive and time-consuming because of the complexity and volume of clinical notes. The aim of this study is to apply natural language processing (NLP) techniques to automate this process, minimizing manual data collection efforts, and improving the consistency and reliability of the results.

Authors

  • Xu Zuo
    The University of Texas Health Science Center at Houston.
  • Ashok Kumar
    Department of Radiation Oncology, Army Hospital Research and Referral, Delhi, India.
  • Shuhan Shen
    Mayo Clinic, Scottsdale, AZ.
  • Jianfu Li
    Mayo Clinic.
  • Grace Cong
    University of Maryland, College Park, College Park, MD.
  • Edward Jin
    University of Southern California, Los Angeles, CA.
  • Qingxia Chen
    Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.
  • Jeremy L Warner
    Department of Medicine, Brown University, Providence, RI, 02912, United States.
  • Ping Yang
    Key Laboratory of Grain and Oil Processing and Food Safety of Sichuan Province, College of Food and Bioengineering, Xihua University Chengdu 610039 China xingyage1@163.com.
  • Hua Xu
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

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