Justin Mower

According to our database, Justin Mower authored at least 8 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Predicting Drug Blood-Brain Barrier Penetration with Adverse Event Report Embeddings.

YiFan Wu, Justin Mower, Xiruo Ding, Oliver Li, Devika Subramanian, Trevor Cohen

Proceedings of the AMIA 2022, 2022

Deep Representational Clustering for Endotype Discovery.

Amelia J. Averitt, Justin Mower, Nilanjana Banerjee

Proceedings of the AMIA 2022, 2022

2021

Augmenting aer2vec: Enriching distributed representations of adverse event report data with orthographic and lexical information.

Xiruo Ding, Justin Mower, Devika Subramanian, Trevor Cohen

J. Biomed. Informatics, 2021

2019

aer2vec: Distributed Representations of Adverse Event Reporting System Data as a Means to Identify Drug/Side-Effect Associations.

Jake Portanova, Nathan Murray, Justin Mower, Devika Subramanian, Trevor A. Cohen

Proceedings of the AMIA 2019, 2019

Complementing Observational Signal with Distributed Representations for Drug Side-effect Prediction.

Justin Mower, Trevor A. Cohen, Devika Subramanian

Proceedings of the AMIA 2019, 2019

Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications.

Hannah A. Burkhardt, Devika Subramanian, Justin Mower, Trevor A. Cohen

Proceedings of the AMIA 2019, 2019

2018

Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications.

Justin Mower, Devika Subramanian, Trevor Cohen

J. Am. Medical Informatics Assoc., 2018

2016

Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships.

Justin Mower, Devika Subramanian, Ning Shang, Trevor Cohen

Proceedings of the AMIA 2016, 2016