De-identifying Free Text of Japanese Electronic Health Records

Kohei Kajiyama, Hiromasa Horiguchi, Takashi Okumura, Mizuki Morita, Yoshinobu Kano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new law was established in Japan to promote utilization of EHRs for research and developments, while de-identification is required to use EHRs. However, studies of automatic de-identification in the healthcare domain is not active for Japanese language, no de-identification tool available in practical performance for Japanese medical domains, as far as we know. Previous work shows that rule-based methods are still effective, while deep learning methods are reported to be better recently. In order to implement and evaluate a de-identification tool in a practical level, we implemented three methods, rule-based, CRF, and LSTM. We prepared three datasets of pseudo EHRs with de-identification tags manually annotated. These datasets are derived from shared task data to compare with previous work, and our new data to increase training data. Our result shows that our LSTM-based method is better and robust, which leads to our future work that plans to apply our system to actual de-identification tasks in hospitals.

Original languageEnglish
Title of host publicationEMNLP 2018 - 9th International Workshop on Health Text Mining and Information Analysis, LOUHI 2018 - Proceedings of the Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages65-70
Number of pages6
ISBN (Electronic)9781948087742
Publication statusPublished - 2018
Event9th International Workshop on Health Text Mining and Information Analysis, LOUHI 2018, co-located with EMNLP 2018 - Brussels, Belgium
Duration: Oct 31 2018 → …

Publication series

NameEMNLP 2018 - 9th International Workshop on Health Text Mining and Information Analysis, LOUHI 2018 - Proceedings of the Workshop

Conference

Conference9th International Workshop on Health Text Mining and Information Analysis, LOUHI 2018, co-located with EMNLP 2018
Country/TerritoryBelgium
CityBrussels
Period10/31/18 → …

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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