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DIVA: Exploration and Validation of Hypothesized Drug-Drug Interactions.

, , , , , and . Comput. Graph. Forum, 38 (3): 95-106 (2019)

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DIVA: Exploration and Validation of Hypothesized Drug-Drug Interactions., , , , , and . Comput. Graph. Forum, 38 (3): 95-106 (2019)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)MeDIAR: Multi-Drug Adverse Reactions Analytics., , , , , , , , , and 1 other author(s). ICDE, page 1565-1568. IEEE Computer Society, (2018)MARAS: Signaling Multi-Drug Adverse Reactions., , , , and . KDD, page 1615-1623. ACM, (2017)MEV: Visual Analytics for Medication Error Detection., , , , , , , , , and 1 other author(s). VISIGRAPP (3: IVAPP), page 72-82. SciTePress, (2019)DEVES: Interactive Signal Analytics for Drug Safety., , , , , , , , , and . CIKM, page 1891-1894. ACM, (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)