Gordon R. Bernard

According to our database1, Gordon R. Bernard authored at least 12 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses.
Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Mining Potential Effects of HUMIRA in Twitter Posts Through Relational Similarity.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Mining Potentially Unreported Effects from Twitter Posts through Relational Similarity: A Case for Opioids.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Semantic Similarity of Side Effect and Indication Relations of Drugs Inferred from Neural Embedding.
Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

An Explainable Approach of Inferring Potential Medication Effects from Social Media Data.
Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019

2018
Identifying tweets of personal health experience through word embedding and LSTM neural network.
BMC Bioinform., 2018

A Data-Driven Method of Discovering Misspellings of Medication Names on Twitter.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Identifying Consumer Health Terms of Side Effects in Twitter Posts.
Proceedings of the Data, 2018

2017
Predicting Major Adverse Kidney Events among Critically Ill Adults Using the Electronic Health Record.
J. Medical Syst., 2017

Identifying personal health experience tweets with deep neural networks.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2011
StarBRITE: The Vanderbilt University Biomedical Research Integration, Translation and Education portal.
J. Biomed. Informatics, 2011


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