首页|Challenges in clinical natural language processing for automated disorder normalization

Challenges in clinical natural language processing for automated disorder normalization

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原文链接
  • NSTL
  • Elsevier
Background: Identifying key variables such as disorders within the clinical narratives in electronic health records has wide-ranging applications within clinical practice and biomedical research. Previous research has demonstrated reduced performance of disorder named entity recognition (NER) and normalization (or grounding) in clinical narratives than in biomedical publications. In this work, we aim to identify the cause for this performance difference and introduce general solutions.

Natural language processingElectronic health recordsInformation extraction

2015

10.1016/j.jbi.2015.07.010

Journal of biomedical informatics.

Journal of biomedical informatics.

ISSN：1532-0464
年,卷(期)：2015.57
  • 29
  • 44