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Temporal Expression Classification and Normalization From Chinese Narrative Clinical Texts: Pattern Learning Approach.

Xiaoyi PanBoyu ChenHeng WengYongyi GongYingying Qu
Published in: JMIR medical informatics (2020)
This study illustrates an automatic approach, TNorm, that extracts and normalizes temporal expression from Chinese narrative clinical texts. TNorm was evaluated on the basis of discharge summary data, and results demonstrate its effectiveness on temporal expression normalization.
Keyphrases
  • poor prognosis
  • deep learning
  • machine learning
  • binding protein
  • long non coding rna
  • big data