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An attention-based deep learning model for clinical named entity recognition of Chinese electronic medical records
2019
BMC Medical Informatics and Decision Making
Clinical named entity recognition (CNER) is important for medical information mining and establishment of high-quality knowledge map. Due to the different text features from natural language and a large number of professional and uncommon clinical terms in Chinese electronic medical records (EMRs), there are still many difficulties in clinical named entity recognition of Chinese EMRs. It is of great importance to eliminate semantic interference and improve the ability of autonomous learning of
doi:10.1186/s12911-019-0933-6
pmid:31801540
pmcid:PMC6894110
fatcat:c6wgahdbdzccfpcmon3gus4bxi