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De-identification of medical records using conditional random fields and long short-term memory networks.

, , , , and . CoRR, (2017)

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Using Maximum Entropy Model to Extract Protein-Protein Interaction Information from Biomedical Literature., , , and . ICIC (1), volume 4681 of Lecture Notes in Computer Science, page 730-737. Springer, (2007)Rich features based Conditional Random Fields for biological named entities recognition., , , and . Comput. Biol. Medicine, 37 (9): 1327-1333 (2007)Classifying medical relations in clinical text via convolutional neural networks., , and . Artif. Intell. Medicine, (2019)Reserved Self-training: A Semi-supervised Sentiment Classification Method for Chinese Microblogs., , , and . IJCNLP, page 455-462. Asian Federation of Natural Language Processing / ACL, (2013)ggmsa: a visual exploration tool for multiple sequence alignment and associated data., , , , , , , , , and 3 other author(s). Briefings Bioinform., (2022)Disease Diagnosis based on Multiple Semantic Relationship Prompt Subgraph., , , , , and . BIBM, page 3398-3405. IEEE, (2023)An Improved Feature Representation Method for Maximum Entropy Model., and . ICDM Workshops, page 400-406. IEEE Computer Society, (2006)Constructing a Hierarchical User Interest Structure Based on User Profiles., , and . ICDM Workshops, page 156-162. IEEE Computer Society, (2017)NormCG: A Novel Deep Learning Model for Medical Entity Linking., , , , , and . FICTA (2), volume 1177 of Advances in Intelligent Systems and Computing, page 565-573. Springer, (2020)LHP: Logical hypergraph link prediction., , , , , and . Expert Syst. Appl., (July 2023)