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• W3176415966 abstract "Extracting information from Electronic Health Records(EHRs) and applying it to clinical research and hospital management has been very effective. Compared with the capacity of Chinese EHRs data, there is still much work in research and application to be carried out on Chinese information extraction. Helping clinical professionals understand the progress of Information Extraction(IE) at home and abroad is intention of this scoping review. We obtain research articles from five databases including IEEE, MDELINE etc., and retain 189 articles screened by two authors. We analyze IE from five aspects, problem definition, data preprocessing, knowledgebase establishment, method training and testing, method practical application and upgrade iteration. Finally, we focus on summarizing and analyzing the state of art in Chinese information extraction works." @default.
• W3176415966 created "2021-07-05" @default.
• W3176415966 creator A5029939854 @default.
• W3176415966 creator A5031218390 @default.
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• W3176415966 date "2020-12-01" @default.
• W3176415966 modified "2023-10-17" @default.
• W3176415966 title "A Scoping Review of Clinical Unstructured Text Information Extraction" @default.
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• W3176415966 doi "https://doi.org/10.1109/csci51800.2020.00159" @default.
• W3176415966 hasPublicationYear "2020" @default.
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