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A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records
BACKGROUND: Electronic Medical Record (EMR) comprises patients’ medical information gathered by medical stuff for providing better health care. Named Entity Recognition (NER) is a sub-field of information extraction aimed at identifying specific entity terms such as disease, test, symptom, genes etc...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6309059/ https://ncbi.nlm.nih.gov/pubmed/30591015 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2467-9 |
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