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Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record.

, , , , , , , , , , and . J. Am. Medical Informatics Assoc., 22 (e1): e151-e161 (2015)

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A common type system for clinical natural language processing., , , , , , , , , and 1 other author(s). J. Biomedical Semantics, (2013)Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record., , , , , , , , , and 1 other author(s). J. Am. Medical Informatics Assoc., 22 (e1): e151-e161 (2015)Improving Temporal Relation Extraction with Training Instance Augmentation., , , , and . BioNLP@ACL, page 108-113. Association for Computational Linguistics, (2016)Good Seed Makes a Good Crop: Accelerating Active Learning Using Language Modeling., and . ACL (2), page 6-10. The Association for Computer Linguistics, (2011)Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data., , , , , , , and . CoRR, (2024)Using Language Modeling to Select Useful Annotation Data., and . HLT-NAACL (Student Research Workshop and Doctoral Consortium), page 25-30. The Association for Computational Linguistics, (2009)978-1-932432-42-8.Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction., , , , , and . Louhi@EMNLP, page 165-176. Association for Computational Linguistics, (2018)Extracting Time Expressions from Clinical Text., , , , and . BioNLP@IJCNLP, page 81-91. Association for Computational Linguistics, (2015)Unsupervised Document Classification with Informed Topic Models., , and . BioNLP@ACL, page 83-91. Association for Computational Linguistics, (2016)Towards comprehensive syntactic and semantic annotations of the clinical narrative., , , , , , , , , and 3 other author(s). J. Am. Medical Informatics Assoc., 20 (5): 922-930 (2013)