Detecting Medications and Adverse Drug Events in Clinical Notes Using Recurrent Neural Networks

Xi Yang, Jiang Bian, Yonghui Wu; Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, PMLR 90:1-6

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Named Entity Recognition using Neural Networks for Clinical Notes

Edson Florez, Frederic Precioso, Michel Riveill, Romaric Pighetti; Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, PMLR 90:7-15

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Hybrid system for adverse drug event detection

Alec B. Chapman, Kelly S. Peterson, Patrick R. Alba, Scott L. DuVall, Olga V. Patterson; Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, PMLR 90:16-24

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Clinical NER and Relation Extraction using Bi-Char-LSTMs and Random Forest Classifiers

Arjun Magge, Matthew Scotch, Graciela Gonzalez-Hernandez; Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, PMLR 90:25-30

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Knowledge-based Feature Engineering for Detecting Medication and Adverse Drug Events from Electronic Health Records

Duy-Hoa Ngo, Alejandro Metke-Jimenez, Anthony Nguyen; Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, PMLR 90:31-38

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IBM Research System at MADE 2018: Detecting Adverse Drug Events from Electronic Health Records

Bharath Dandala, Venkata Joopudi, Murthy Devarakonda; Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, PMLR 90:39-47

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Bidirectional LSTM-CRF for Adverse Drug Event Tagging in Electronic Health Records

Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner, Xiangnan Kong; Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, PMLR 90:48-56

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UArizona at the MADE1.0 NLP Challenge

Dongfang Xu, Vikas Yadav, Steven Bethard; Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, PMLR 90:57-65

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