A Method of Text Information Normalization of Electronic Medical Records of Traditional Chinese Medicine

Authors

  • Can Li School of Information Engineering, Hubei University of Chinese Medicine, Wuhan, China
  • Dan Xie School of Information Engineering, Hubei University of Chinese Medicine, Wuhan, China

DOI:

https://doi.org/10.55578/joaims.221108.001

Keywords:

EMR of TCM, Normalization, Event extraction, Named entity recognition

Abstract

Electronic medical records (EMR) of Traditional Chinese Medicine (TCM) contain rich contents such as chief complaints, subcutaneous symptoms, history of present illness, and past medical history, which are important reference bases for TCM diagnosis. However, there are a lot of terminology and expression irregularities since this information is frequently conveyed in natural language. In this paper, we propose a method to normalize the textual information of EMR of TCM and select the text of medical history with a strong narrative such as the history of present illness and past medical history, as well as the text of symptoms such as chief complaints and subcutaneous symptoms as the main research object. The text is then processed separately according to the type of text. For symptom texts such as chief complaints and subcutaneous symptoms, named entity recognition technology is directly applied to extract symptom entities directly; for medical history texts such as the history of present illness and past medical history, event extraction is performed first to divide the treatment events, and then named entity recognition technology is applied to extract various entities, and finally, the various entities are stored in a database. Using this method, experiments are conducted on the EMR of the orthopedic injury department of a hospital, in which the recognition rate of the symptom entity in the symptom text reaches 92.28%, and the recognition rate of entities such as symptoms and diseases in the medical history text reaches 89.86%. The validity of this method is verified. This method normalizes the natural language writing part of the EMR and stores it in a structured way, which is convenient for the subsequent data analysis and mining, and lays a solid foundation for the intellectualization of TCM.

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Published

2022-11-17

How to Cite

1.
Li C, Xie D. A Method of Text Information Normalization of Electronic Medical Records of Traditional Chinese Medicine. JAIMS [Internet]. 2022 Nov. 17 [cited 2022 Nov. 30];:1-8. Available from: http://oapublishing-jaims.com/jaims/article/view/82