Justin Mower

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 8

Top Topics

Distributed Representations

Adverse Drug Reactions

Cerebral Blood Flow

Event Recognition

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Amelia J. Averitt, Justin Mower, Nilanjana Banerjee
Deep Representational Clustering for Endotype Discovery. AMIA (2022)
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)
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 (2021)
Justin Mower, Trevor A. Cohen, Devika Subramanian
Complementing Observational Signal with Distributed Representations for Drug Side-effect Prediction. AMIA (2019)
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)
Hannah A. Burkhardt, Devika Subramanian, Justin Mower, Trevor A. Cohen
Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications. AMIA (2019)
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) (2018)
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)