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

Mario Fugal¹, David Marshall¹, Alexander V Alekseyenko¹, Xia Jing², Graham Warren¹, Jihad Obeid¹

¹Medical University of South Carolina, Charleston, SC.

²Clemson University, Clemson, SC.

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 fo…

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