A marker-based neural network system for extracting social determinants of health.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date:

Abstract

OBJECTIVE: The impact of social determinants of health (SDoH) on patients' healthcare quality and the disparity is well known. Many SDoH items are not coded in structured forms in electronic health records. These items are often captured in free-text clinical notes, but there are limited methods for automatically extracting them. We explore a multi-stage pipeline involving named entity recognition (NER), relation classification (RC), and text classification methods to automatically extract SDoH information from clinical notes.

Authors

  • Xingmeng Zhao
    Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, Texas, USA.
  • Anthony Rios
    Department of Computer Science, University of Kentucky, 329 Rose Street, Lexington, KY 40506, USA. Electronic address: anthony.rios1@uky.edu.