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- W3002022110 abstract "The OpenEHR specification standard utilizes the two-layer modeling principle which is in line with the electronic medical record specification to ensure the high scalability of the electronic medical record model and the high applicability of the medical field knowledge, and to solve the problem of poor accessibility and low availability. In order to realize the automatic conversion of any format-text electronic medical records to OpenEHR, this paper proposes a wide & deep network to match the electronic records of free texts with OpenEHR templates, and proposes a labeling model which use conditional random fields and cyclic neural networks for the extraction of clinical test items." @default.
- W3002022110 created "2020-01-30" @default.
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- W3002022110 date "2019-08-01" @default.
- W3002022110 modified "2023-09-27" @default.
- W3002022110 title "Automatic Conversion of Electronic Medical Record Text for OpenEHR Based on Semantic Analysis" @default.
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- W3002022110 doi "https://doi.org/10.1109/itme.2019.00019" @default.
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