A Rule-Based System for Automatic De-identification of Medical Narrative Texts

Authors

  • Jelena Jaćimović
  • Cvetana Krstev
  • Drago Jelovac

Abstract

This paper presents an automatic de-identification system for Serbian, based on the adaptation of the existing rule-based named entity recognition system. Built on a finite-state methodology and lexical resources, the system is designed to detect and replace all the explicit personal protected health information present in the medical narrative texts, while still preserving all the relevant medical concepts. The results of a preliminary evaluation demonstrate the usefulness of this method both in preserving patient privacy and the de-identified document interoperability.

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How to Cite

Jaćimović, J., Krstev, C., & Jelovac, D. (2015). A Rule-Based System for Automatic De-identification of Medical Narrative Texts. Informatica, 39(1). Retrieved from https://puffbird.ijs.si/index.php/informatica/article/view/750

Issue

Vol. 39 No. 1 (2015)

Section

Regular papers

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