Building a comprehensive syntactic and semantic corpus of Chinese clinical texts

He, Bin; Dong, Bin; Guan, Yi; Yang, Jinfeng; Jiang, Zhipeng; Yu, Qiubin; Cheng, Jianyi; Qu, Chunyan

doi:10.48550/arxiv.1611.02091

Cited by 1 publication

(2 citation statements)

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“…Wang et al [20] researched the extraction of tumor-related information from Chinese-language operation notes of patients with hepatic carcinomas, and annotated a corpus contains 961 entities. He et al [21] proposed a comprehensive corpus of syntactic and semantic annotations from Chinese clinical texts.…”

Section: Related Work Based On Cemrsmentioning

confidence: 99%

“…Together, these characteristics make CEMR an effective medium for studies that involve extracting CVD risk factors. Some related works [7,[10][11][12][13][14][15][16][17][18][19][20][21] have been performed, but no studies have been conducted on CVD risk factors based on CEMRs. To do this, we designed a task to extract CVD risk factors from CEMRs.…”

Section: Introductionmentioning

confidence: 99%

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Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records

Guan

et al. 2017

BMC Med Inform Decis Mak

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BackgroundCardiovascular disease (CVD) has become the leading cause of death in China, and most of the cases can be prevented by controlling risk factors. The goal of this study was to build a corpus of CVD risk factor annotations based on Chinese electronic medical records (CEMRs). This corpus is intended to be used to develop a risk factor information extraction system that, in turn, can be applied as a foundation for the further study of the progress of risk factors and CVD.ResultsWe designed a light annotation task to capture CVD risk factors with indicators, temporal attributes and assertions that were explicitly or implicitly displayed in the records. The task included: 1) preparing data; 2) creating guidelines for capturing annotations (these were created with the help of clinicians); 3) proposing an annotation method including building the guidelines draft, training the annotators and updating the guidelines, and corpus construction. Meanwhile, we proposed some creative annotation guidelines: (1) the under-threshold medical examination values were annotated for our purpose of studying the progress of risk factors and CVD; (2) possible and negative risk factors were concerned for the same reason, and we created assertions for annotations; (3) we added four temporal attributes to CVD risk factors in CEMRs for constructing long term variations. Then, a risk factor annotated corpus based on de-identified discharge summaries and progress notes from 600 patients was developed. Built with the help of clinicians, this corpus has an inter-annotator agreement (IAA) F1-measure of 0.968, indicating a high reliability.ConclusionTo the best of our knowledge, this is the first annotated corpus concerning CVD risk factors in CEMRs and the guidelines for capturing CVD risk factor annotations from CEMRs were proposed. The obtained document-level annotations can be applied in future studies to monitor risk factors and CVD over the long term.

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Section: Related Work Based On Cemrsmentioning

confidence: 99%