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Int. J. Environ. Res. Public Health 2018, 15(3), 402; https://doi.org/10.3390/ijerph15030402

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

Department of Information Management, Beijing Jiaotong University, Beijing 100044, China
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Received: 30 December 2017 / Revised: 10 February 2018 / Accepted: 23 February 2018 / Published: 27 February 2018
(This article belongs to the Section Health Behavior, Chronic Disease and Health Promotion)
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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. View Full-Text
Keywords: electronic medical records; temporal information; text structuring method; Chinese; information entropy electronic medical records; temporal information; text structuring method; Chinese; information entropy
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Zhang, R.; Chu, F.; Chen, D.; Shang, X. A Text Structuring Method for Chinese Medical Text Based on Temporal Information. Int. J. Environ. Res. Public Health 2018, 15, 402.

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