Abstract is missing.
- Detecting Medications and Adverse Drug Events in Clinical Notes Using Recurrent Neural NetworksXi Yang 0015, Jiang Bian 0001, Yonghui Wu. 1-6 [doi]
- Named Entity Recognition using Neural Networks for Clinical NotesEdson Flórez, Frédéric Precioso, Michel Riveill, Romaric Pighetti. 7-15 [doi]
- Hybrid system for adverse drug event detectionAlec B. Chapman, Kelly S. Peterson, Patrick R. Alba, Scott L. DuVall, Olga V. Patterson. 16-24 [doi]
- Clinical NER and Relation Extraction using Bi-Char-LSTMs and Random Forest ClassifiersArjun Magge, Matthew Scotch, Graciela Gonzalez-Hernandez. 25-30 [doi]
- Knowledge-based Feature Engineering for Detecting Medication and Adverse Drug Events from Electronic Health RecordsDuy-Hoa Ngo, Alejandro Metke-Jimenez, Anthony N. Nguyen. 31-38 [doi]
- IBM Research System at MADE 2018: Detecting Adverse Drug Events from Electronic Health RecordsBharath Dandala, Venkata Joopudi, Murthy V. Devarakonda. 39-47 [doi]
- Bidirectional LSTM-CRF for Adverse Drug Event Tagging in Electronic Health RecordsSusmitha Wunnava, Xiao Qin 0003, Tabassum Kakar, Elke A. Rundensteiner, Xiangnan Kong. 48-56 [doi]
- UArizona at the MADE1.0 NLP ChallengeDongfang Xu, Vikas Yadav, Steven Bethard. 57-65 [doi]