Research on Named Entity Recognition of Electronic Medical Records Based on RoBERTa and Radical-Level Feature

Clinical named entity recognition (CNER) identifies entities from unstructured medical records and classifies them into predefined categories. It is of great significance for follow-up clinical studies. Most of the existing CNER methods fail to give enough thought to Chinese radical-level characteri...

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Veröffentlicht in:	Wireless communications and mobile computing 2021, Vol.2021 (1)
Hauptverfasser:	Wu, Yue, Huang, Jie, Xu, Caie, Zheng, Huilin, Zhang, Lei, Wan, Jian
Format:	Artikel
Sprache:	eng
Schlagworte:	Coders Conditional random fields Datasets Deep learning Dictionaries Eigenvectors Electronic health records Feature recognition Medical records Medical research Neural networks
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