IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i3p402-d133529.html
   My bibliography  Save this article

A Text Structuring Method for Chinese Medical Text Based on Temporal Information

Author

Listed:
  • Runtong Zhang

    (Department of Information Management, Beijing Jiaotong University, Beijing 100044, China)

  • Fuzhi Chu

    (Department of Information Management, Beijing Jiaotong University, Beijing 100044, China)

  • Donghua Chen

    (Department of Information Management, Beijing Jiaotong University, Beijing 100044, China)

  • Xiaopu Shang

    (Department of Information Management, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Chinese Electronic Medical Records (EMRs) contains a large number of complex medical free text which includes a variety of information, such as temporal information, patients’ symptoms and laboratory data. However, as an important knowledge base, these unstructured text data in EMR are hard to process directly by computer to support further medical research. This paper proposes a novel text structuring method to extract knowledge from EMR texts and reorganize them in chronological order according to the temporal information in the text. By implementing some entropy-based algorithms as contrast, experiments evaluate the performance of the proposed method, which indicates the new method can significantly reduce the complexity of EMR text. This work is significant in structuring the EMR free text into temporal-structured data for further medical analysis.

Suggested Citation

  • Runtong Zhang & Fuzhi Chu & Donghua Chen & Xiaopu Shang, 2018. "A Text Structuring Method for Chinese Medical Text Based on Temporal Information," IJERPH, MDPI, vol. 15(3), pages 1-12, February.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:402-:d:133529
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/3/402/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/3/402/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:402-:d:133529. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.