Publications by authors named "Devika Subramanian"

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Machine Learning to Enhance Electronic Detection of Diagnostic Errors.
Andrew J Zimolzak, Li Wei, Usman Mir, Ashish Gupta, Viralkumar Vaghani, Devika Subramanian

JAMA Netw Open· September 2024

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A Machine Learning Model for Risk Stratification of Postdiagnosis Diabetic Ketoacidosis Hospitalization in Pediatric Type 1 Diabetes: Retrospective Study.
Devika Subramanian, Rona Sonabend, Ila Singh

JMIR Diabetes· August 2024

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Thyroid Cancer Polygenic Risk Score Improves Classification of Thyroid Nodules as Benign or Malignant.
Nikita Pozdeyev, Manjiri Dighe, Martin Barrio, Christopher Raeburn, Harry Smith, Devika Subramanian

J Clin Endocrinol Metab· January 2024

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Stratification of Pediatric COVID-19 Cases Using Inflammatory Biomarker Profiling and Machine Learning.
Devika Subramanian, Aadith Vittala, Xinpu Chen, Christopher Julien, Sebastian Acosta

J Clin Med· August 2023

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Improving Pharmacovigilance Signal Detection from Clinical Notes with Locality Sensitive Neural Concept Embeddings.
Justin Mower, Elmer Bernstam, Hua Xu, Sahiti Myneni, Devika Subramanian

AMIA Jt Summits Transl Sci Proc· June 2023

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Leveraging big data bioinformatics approaches to extract knowledge from public omics data.
Devika Subramanian, Jeyakumar Natarajan

Crit Rev Microbiol· May 2023

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Predicting Drug Blood-Brain Barrier Penetration with Adverse Event Report Embeddings.
YiFan Wu, Justin Mower, Xiruo Ding, Oliver Li, Devika Subramanian

AMIA Annu Symp Proc· May 2023

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Stratification of Pediatric COVID-19 cases by inflammatory biomarker profiling and machine learning.
Devika Subramanian, Aadith Vittala, Xinpu Chen, Christopher Julien, Sebastian Acosta

medRxiv· April 2023

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Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates.
Tongtong Huang, Yan Chu, Shayan Shams, Yejin Kim, Ananth V Annapragada, Devika Subramanian

J Biomed Inform· July 2021

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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 Inform· July 2021

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Domain-driven models yield better predictions at lower cost than reservoir computers in Lorenz systems.
Ryan Pyle, Nikola Jovanovic, Devika Subramanian, Krishna V Palem, Ankit B Patel

Philos Trans A Math Phys Eng Sci· April 2021

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Integrated meta-analysis and machine learning approach identifies acyl-CoA thioesterase with other novel genes responsible for biofilm development in Staphylococcus aureus.
Devika Subramanian, Jeyakumar Natarajan

Infect Genet Evol· March 2021

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Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications.
Hannah A Burkhardt, Devika Subramanian, Justin Mower, Trevor Cohen

AMIA Annu Symp Proc· September 2020

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: 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 Cohen

AMIA Annu Symp Proc· August 2020

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RNA-seq analysis reveals resistome genes and signalling pathway associated with vancomycin-intermediate .
Devika Subramanian, Jeyakumar Natarajan

Indian J Med Microbiol· April 2020

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Complementing Observational Signals with Literature-Derived Distributed Representations for Post-Marketing Drug Surveillance.
Justin Mower, Trevor Cohen, Devika Subramanian

Drug Saf· January 2020

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Genomic analysis of RNA-Seq and sRNA-Seq data identifies potential regulatory sRNAs and their functional roles in Staphylococcus aureus.
Devika Subramanian, Balu Bhasuran, Jeyakumar Natarajan

Genomics· December 2019

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Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications.
Justin Mower, Devika Subramanian, Trevor Cohen

J Am Med Inform Assoc· October 2018

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This Way Out.
Leonardo Dueñas-Osorio, Devika Subramanian, Robert M Stein

Sci Am· September 2018

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Text mining and network analysis to find functional associations of genes in high altitude diseases.
Balu Bhasuran, Devika Subramanian, Jeyakumar Natarajan

Comput Biol Chem· August 2018

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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

AMIA Annu Symp Proc· September 2017

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Computational identification and analysis of neurodegenerative disease associated protein kinases in hominid genomes.
Saranya Jayapalan, Devika Subramanian, Jeyakumar Natarajan

Genes Dis· September 2016

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Network analysis of S. aureus response to ramoplanin reveals modules for virulence factors and resistance mechanisms and characteristic novel genes.
Devika Subramanian, Jeyakumar Natarajan

Gene· December 2015

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Model averaging strategies for structure learning in Bayesian networks with limited data.
Bradley M Broom, Kim-Anh Do, Devika Subramanian

BMC Bioinformatics· May 2013

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Graph-based signal integration for high-throughput phenotyping.
Jorge R Herskovic, Devika Subramanian, Trevor Cohen, Pamela A Bozzo-Silva, Charles F Bearden

BMC Bioinformatics· May 2013

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