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One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives.

, , , , , , and . HEALTHINF, page 176-188. SciTePress, (2018)

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Bidirectional LSTM-CRF for Adverse Drug Event Tagging in Electronic Health Records., , , , and . Medication and Adverse Drug Event Detection, volume 90 of Proceedings of Machine Learning Research, page 48-56. PMLR, (2018)Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives., , , , , , , and . BIOSTEC (Selected Papers), volume 1024 of Communications in Computer and Information Science, page 420-446. Springer, (2018)Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records., , , , and . AMIA, AMIA, (2018)Towards transforming FDA adverse event narratives into actionable structured data for improved pharmacovigilance., , , , , and . SAC, page 777-782. ACM, (2017)A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events., , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 3414-3423. Association for Computational Linguistics, (2020)One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives., , , , , , and . HEALTHINF, page 176-188. SciTePress, (2018)MARAS: Signaling Multi-Drug Adverse Reactions., , , , and . KDD, page 1615-1623. ACM, (2017)Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding., , , , , , , and . IEEE BigData, page 758-767. IEEE, (2020)MeDIAR: Multi-Drug Adverse Reactions Analytics., , , , , , , , , and 1 other author(s). ICDE, page 1565-1568. IEEE Computer Society, (2018)