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

International Journal of Environmental Research and Public Health
Runtong ZhangXiaopu Shang

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.

References

Sep 20, 2005·Journal of Biomedical Informatics·Li ZhouGeorge Hripcsak
May 19, 2012·International Journal of Medical Informatics·Ruth M ReevesSteven H Brown
Sep 29, 2012·Journal of the American Medical Informatics Association : JAMIA·David A Hanauer, Naren Ramakrishnan
Oct 19, 2012·Journal of Medical Systems·Qian ZhuChristopher G Chute
Feb 6, 2013·IEEE Transactions on Bio-medical Engineering·Arthur G ErdmanRandall Schiestl
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Apr 5, 2016·Computer Methods and Programs in Biomedicine·Mohcine MadkourCui Tao
Sep 28, 2016·Journal of Biomedical Semantics·Magnus AhltorpKenji Araki

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