Extracting medication information from unstructured public health data: a demonstration on data from population-based and tertiary-based samples.

Journal: BMC medical research methodology
Published Date: Oct 15, 2020

Abstract

BACKGROUND: Unstructured data from clinical epidemiological studies can be valuable and easy to obtain. However, it requires further extraction and processing for data analysis. Doing this manually is labor-intensive, slow and subject to error. In this study, we propose an automation framework for extracting and processing unstructured data.

Authors

  • Robert Chen
    Research, Sutter Health Research, Walnut Creek, CA (R.C., X.Y.).
  • Joyce C Ho
    Emory University, Atlanta, GA.
  • Jin-Mann S Lin
    Chronic Viral Diseases Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd. NE, Mailstop H24-12, Atlanta, GA, 30329, USA. dwe3@cdc.gov.

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