This paper is in the following e-collection/theme issue:

Theme issue 2019: Health Natural Language Processing (16) Electronic Health Records (961) Machine Learning (1370) Natural Language Processing (636) Ontologies, Classifications, and Coding (223)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17652, first published .
Temporal Expression Classification and Normalization From Chinese Narrative Clinical Texts: Pattern Learning Approach

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

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

Authors of this article:

Xiaoyi Pan1 Author Orcid Image ;   Boyu Chen1 Author Orcid Image ;   Heng Weng2 Author Orcid Image ;   Yongyi Gong1 Author Orcid Image ;   Yingying Qu3 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

Journals

  1. Hao T, Huang Z, Liang L, Weng H, Tang B. Health Natural Language Processing: Methodology Development and Applications. JMIR Medical Informatics 2021;9(10):e23898 View
  2. Zhong X, Cambria E. Time expression recognition and normalization: a survey. Artificial Intelligence Review 2023 View
  3. Lyu S, Zhang C, Sun J, Weng H, Xue C, Guo X, Zhang A. Chinese herbal medicine for migraine management: A hospital-based retrospective analysis of electronic medical records. Frontiers in Medicine 2022;9 View
  4. Wang S, Li R, Wu H. Integrating machine learning with linguistic features: A universal method for extraction and normalization of temporal expressions in Chinese texts. Computer Methods and Programs in Biomedicine 2023;233:107474 View