Gordon R. Bernard

发表

Predicting Major Adverse Kidney Events among Critically Ill Adults Using the Electronic Health Record

Li Wang, Jesse M. Ehrenfeld, Jonathan P. Wanderer, 2017, Journal of Medical Systems.

Identifying Consumer Health Terms of Side Effects in Twitter Posts

Keyuan Jiang, Ricardo A. Calix, Gordon R. Bernard, 2018, ICIMTH.

Identifying tweets of personal health experience through word embedding and LSTM neural network

Keyuan Jiang, Ricardo A. Calix, Gordon R. Bernard, 2018, BMC Bioinformatics.

Interface Design For A Bedside ICU Charting System

Gordon R. Bernard, Keyuan Jiang, B. B. Swindell, 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

Keyuan Jiang, Liyuan Huang, Gordon R. Bernard, 2019, SEPDA@ISWC.

Prototyping A Workstation-based Icu Charting System

Gordon R. Bernard, Keyuan Jiang, B. B. Swindell, 1990, [1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Mining Potentially Unreported Effects from Twitter Posts through Relational Similarity: A Case for Opioids

Keyuan Jiang, Dingkai Zhang, Gordon R. Bernard, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Data-Driven Method of Discovering Misspellings of Medication Names on Twitter

Keyuan Jiang, Ricardo A. Calix, Liyuan Huang, 2018, MIE.

Identifying personal health experience tweets with deep neural networks

Keyuan Jiang, Ricardo A. Calix, Ravish Gupta, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses

Keyuan Jiang, Ricardo A. Calix, Gordon R. Bernard, 2019, Precision Health and Medicine.

StarBRITE: The Vanderbilt University Biomedical Research Integration, Translation and Education portal

Paul A. Harris, Jill M. Pulley, Daniel R. Masys, 2011, J. Biomed. Informatics.

An Explainable Approach of Inferring Potential Medication Effects from Social Media Data

Keyuan Jiang, Ricardo A. Calix, Liyuan Huang, 2019, KR4HC/ProHealth/TEAAM@AIME.

Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations*

Keyuan Jiang, Ricardo A. Calix, Gordon R. Bernard, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Attitudes and perceptions of patients towards methods of establishing a DNA biobank

Jill M. Pulley, Gordon R. Bernard, G. Bernard, 2008, Cell and Tissue Banking.

Multicenter Validation of a Computer-Based Clinical Decision Support Tool for Glucose Control in Adult and Pediatric Intensive Care Units

Alan H. Morris, Jay S. Steingrub, Dean K. Sorenson, 2008, Journal of diabetes science and technology.

An Electronic Tool for the Evaluation and Treatment of Sepsis in the ICU: A Randomized Controlled Trial*

Todd W. Rice, Matthew W. Semler, Gordon R. Bernard, 2015, Critical care medicine.

Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016

Sangeeta Mehta, Lisa Shieh, Mitchell M. Levy, 2017, Intensive Care Medicine.

Evaluation of delirium in critically ill patients: Validation of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU)

Theodore Speroff, Gordon R. Bernard, Shiva Gautam, 2001, Critical care medicine.

Reengineering the National Clinical and Translational Research Enterprise: The Strategic Plan of the National Clinical and Translational Science Awards Consortium

Gordon R. Bernard, Robert M. Califf, Steven E. Reis, 2010, Academic medicine : journal of the Association of American Medical Colleges.

Comparison of two fluid-management strategies in acute lung injury.

Gordon R. Bernard, Douglas Hayden, B. Taylor Thompson, 2009 .

Treating patients with severe sepsis.

Gordon R. Bernard, G. Bernard, A. Wheeler, 1999, New England Journal of Medicine.