Classifying Stereotactic Radiosurgery Patients by Primary Diagnosis Using Natural Language Processing of Clinical Notes.

Journal: JCO clinical cancer informatics
Published Date:

Abstract

PURPOSE: Accurate identification of the primary tumor diagnosis of patients who have undergone stereotactic radiosurgery (SRS) from electronic health records is a critical but challenging task. Traditional methods of identifying the primary tumor histology relying on International Classification of Diseases (ICD)9 and ICD10 CM codes often fall short in granularity and completeness, particularly for patients with metastatic cancer.

Authors

  • Mario Fugal
    Medical University of South Carolina, Charleston, SC.
  • David Marshall
    Medical University of South Carolina, Charleston, SC.
  • Alexander V Alekseyenko
    Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, 29425, USA.
  • Xia Jing
    Department of Public Health Sciences, College of Behavioral, Social, and Health Sciences, Clemson University, Clemson, SC, USA.
  • Graham Warren
    ieso Digital Health Ltd, Cambridge, United Kingdom.
  • Jihad Obeid
    Medical University of South Carolina, Charleston, South Carolina, United States of America.