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

Runtong Zhang, Fuzhi Chu, Donghua Chen and Xiaopu Shang
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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

IJERPH, 2018, vol. 15, issue 3, 1-12

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.

Keywords: electronic medical records; temporal information; text structuring method; Chinese; information entropy (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
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