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Journal Articles
- 2021
[j2]Xiruo Ding, Justin Mower, Devika Subramanian
, Trevor Cohen:
Augmenting aer2vec: Enriching distributed representations of adverse event report data with orthographic and lexical information. J. Biomed. Informatics 119: 103833 (2021)- 2018
- [j1]Justin Mower, Devika Subramanian, Trevor Cohen:
Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications. J. Am. Medical Informatics Assoc. 25(10): 1339-1350 (2018)
Conference and Workshop Papers
- 2022
- [c6]Amelia J. Averitt, Justin Mower, Nilanjana Banerjee:
Deep Representational Clustering for Endotype Discovery. AMIA 2022 - [c5]YiFan Wu, Justin Mower, Xiruo Ding, Oliver Li, Devika Subramanian, Trevor Cohen:
Predicting Drug Blood-Brain Barrier Penetration with Adverse Event Report Embeddings. AMIA 2022 - 2019
- [c4]Hannah A. Burkhardt, Devika Subramanian, Justin Mower, Trevor A. Cohen:
Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications. AMIA 2019 - [c3]Justin Mower, Trevor A. Cohen, Devika Subramanian:
Complementing Observational Signal with Distributed Representations for Drug Side-effect Prediction. AMIA 2019 - [c2]Jake Portanova, Nathan Murray, Justin Mower, Devika Subramanian, Trevor A. Cohen:
aer2vec: Distributed Representations of Adverse Event Reporting System Data as a Means to Identify Drug/Side-Effect Associations. AMIA 2019 - 2016
- [c1]Justin Mower, Devika Subramanian, Ning Shang, Trevor Cohen:
Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships. AMIA 2016
Coauthor Index
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