CACER: Clinical concept Annotations for Cancer Events and Relations.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Nov 1, 2024

Abstract

OBJECTIVE: Clinical notes contain unstructured representations of patient histories, including the relationships between medical problems and prescription drugs. To investigate the relationship between cancer drugs and their associated symptom burden, we extract structured, semantic representations of medical problem and drug information from the clinical narratives of oncology notes.

Authors

  • Yujuan Velvin Fu
    Department of Biomedical Informatics & Medical Education, University of Washington, Seattle, WA 98195, United States.
  • Giridhar Kaushik Ramachandran
    Department of Information Sciences & Technology, George Mason University, Fairfax, VA, United States of America. Electronic address: gramacha@gmu.edu.
  • Ahmad Halwani
  • Bridget T McInnes
    Department of Computer Science, Virginia Commonwealth University, 401 S. Main St., Rm E4225, Richmond, VA 23284, USA. Electronic address: btmcinnes@vcu.edu.
  • Fei Xia
    Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
  • Kevin Lybarger
    University of Washington, Seattle, WA.
  • Meliha Yetisgen
    Departments of Biomedical and Health Informatics, University of Washington Medical Center, Seattle2Departments of Linguistics, University of Washington Medical Center, Seattle.
  • Ozlem Uzuner
    Department of Information Studies, University at Albany, SUNY. Albany, NY.

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