default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMedication and Adverse Drug Event Detection 2018
- Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, 4 May 2018. Proceedings of Machine Learning Research 90, PMLR 2018
- Xi Yang, Jiang Bian, Yonghui Wu:
Detecting Medications and Adverse Drug Events in Clinical Notes Using Recurrent Neural Networks. 1-6 - Edson Flórez, Frédéric Precioso, Michel Riveill, Romaric Pighetti:
Named Entity Recognition using Neural Networks for Clinical Notes. 7-15 - Alec B. Chapman, Kelly S. Peterson, Patrick R. Alba, Scott L. DuVall, Olga V. Patterson:
Hybrid system for adverse drug event detection. 16-24 - Arjun Magge, Matthew Scotch, Graciela Gonzalez-Hernandez:
Clinical NER and Relation Extraction using Bi-Char-LSTMs and Random Forest Classifiers. 25-30 - Duy-Hoa Ngo, Alejandro Metke-Jimenez, Anthony N. Nguyen:
Knowledge-based Feature Engineering for Detecting Medication and Adverse Drug Events from Electronic Health Records. 31-38 - Bharath Dandala, Venkata Joopudi, Murthy V. Devarakonda:
IBM Research System at MADE 2018: Detecting Adverse Drug Events from Electronic Health Records. 39-47 - Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner, Xiangnan Kong:
Bidirectional LSTM-CRF for Adverse Drug Event Tagging in Electronic Health Records. 48-56 - Dongfang Xu, Vikas Yadav, Steven Bethard
:
UArizona at the MADE1.0 NLP Challenge. 57-65
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-01-28 22:20 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
