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Devika Subramanian

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Justin Mower

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Publications

2022
[c33]
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  - electronic edition @ amia.org (archived)
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  dblp key:
  - conf/amia/WuMDLSC22
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  persistent URL:
  - https://dblp.org/rec/conf/amia/WuMDLSC22
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
2021
[j22]
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  dblp key:
  - journals/jbi/DingMSC21
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  persistent URL:
  - https://dblp.org/rec/journals/jbi/DingMSC21
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)
2019
[c32]
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  - electronic edition @ amia.org (archived)
  - no references & citations available
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  dblp key:
  - conf/amia/BurkhardtSMC19
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  persistent URL:
  - https://dblp.org/rec/conf/amia/BurkhardtSMC19
Hannah A. Burkhardt, Devika Subramanian, Justin Mower, Trevor A. Cohen:
Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications. AMIA 2019
[c31]
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  dblp key:
  - conf/amia/MowerCS19
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  - https://dblp.org/rec/conf/amia/MowerCS19
Justin Mower, Trevor A. Cohen, Devika Subramanian:
Complementing Observational Signal with Distributed Representations for Drug Side-effect Prediction. AMIA 2019
[c30]
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  - electronic edition @ amia.org (archived)
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  dblp key:
  - conf/amia/PortanovaMMSC19
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  persistent URL:
  - https://dblp.org/rec/conf/amia/PortanovaMMSC19
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
2018
[j20]
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  dblp key:
  - journals/jamia/MowerSC18
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  - https://dblp.org/rec/journals/jamia/MowerSC18
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)
2016
[c28]
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  dblp key:
  - conf/amia/MowerSSC16
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  persistent URL:
  - https://dblp.org/rec/conf/amia/MowerSSC16
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

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