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Gordon R. Bernard
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2020 – today
- 2023
- [c15]Keyuan Jiang, Valli Devendra, Soniya Chavan, Gordon R. Bernard:
Detection of Day-Based Health Evidence with Pretrained Large Language Models: A Case of COVID-19 Symptoms in Social Media Posts. BIBM 2023: 4208-4212 - [c14]Keyuan Jiang, Mohammed M. Mujtaba, Gordon R. Bernard:
Answering List-Type Questions in Health Domain with Pretrained Large Language Model: A Case for COVID-19 Symptoms. MedInfo 2023: 629-633 - [c13]Keyuan Jiang, Mohammed M. Mujtaba, Gordon R. Bernard:
Large Language Model as Unsupervised Health Information Retriever. MIE 2023: 833-834 - 2022
- [j5]Alan H. Morris, Christopher Horvat, Brian Stagg, David W. Grainger, Michael Lanspa, James Orme, Terry P. Clemmer, Lindell K. Weaver, Frank Thomas, Colin K. Grissom, Ellie Hirshberg, Thomas D. East, Carrie Jane Wallace, Michael P. Young, Dean F. Sittig, Mary Suchyta, James E. Pearl, Antinio Pesenti, Michela Bombino, Eduardo Beck, Katherine A. Sward, Charlene R. Weir, Shobha Phansalkar, Gordon R. Bernard, B. Taylor Thompson, Roy Brower, Jonathon D. Truwit, Jay S. Steingrub, R. Duncan Hite, Douglas F. Willson, Jerry J. Zimmerman, Vinay Nadkarni, Adrienne G. Randolph, Martha A. Q. Curley, Christopher J. L. Newth, Jacques Lacroix, Michael S. D. Agus, Kang Hoe Lee, Bennett P. deBoisblanc, Frederick Alan Moore, R. Scott Evans, Dean K. Sorenson, Anthony Wong, Michael V. Boland, Willard H. Dere, Alan S. Crandall, Julio C. Facelli, Stanley M. Huff, Peter J. Haug, Ulrike Pielmeier, Stephen Edward Rees, Dan S. Karbing, Steen Andreassen, Eddy Fan, Roberta M. Goldring, Kenneth I Berger, Beno W. Oppenheimer, Eugene Wesley Ely, Brian W. Pickering, David A. Schoenfeld, Irena Tocino, Russell S. Gonnering, Peter J. Pronovost, Lucy A. Savitz, Didier Dreyfuss, Arthur S. Slutsky, James D. Crapo, Michael R. Pinsky, Brent James, Donald M. Berwick:
Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy. J. Am. Medical Informatics Assoc. 30(1): 178-194 (2022) - [c12]Keyuan Jiang, Minghao Zhu, Gordon R. Bernard:
Discovery of COVID-19 Symptomatic Experience Reported by Twitter Users. MIE 2022: 664-668 - [c11]Keyuan Jiang, Minghao Zhu, Gordon R. Bernard:
Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-trained Transformer Language Models. PKDD/ECML Workshops (2) 2022: 307-316 - 2021
- [j4]Alan H. Morris, Brian Stagg, Michael Lanspa, James Orme, Terry P. Clemmer, Lindell K. Weaver, Frank Thomas, Colin K. Grissom, Ellie Hirshberg, Thomas D. East, Carrie Jane Wallace, Michael P. Young, Dean F. Sittig, Antonio Pesenti, Michela Bombino, Eduardo Beck, Katherine A. Sward, Charlene R. Weir, Shobha S. Phansalkar, Gordon R. Bernard, B. Taylor Thompson, Roy Brower, Jonathon D. Truwit, Jay S. Steingrub, R. Duncan Hite, Douglas F. Willson, Jerry J. Zimmerman, Vinay M. Nadkarni, Adrienne Randolph, Martha A. Q. Curley, Christopher J. L. Newth, Jacques Lacroix, Michael S. D. Agus, Kang H. Lee, Bennett P. deBoisblanc, R. Scott Evans, Dean K. Sorenson, Anthony Wong, Michael V. Boland, David W. Grainger, Willard H. Dere, Alan S. Crandall, Julio C. Facelli, Stanley M. Huff, Peter J. Haug, Ulrike Pielmeier, Stephen Edward Rees, Dan S. Karbing, Steen Andreassen, Eddy Fan, Roberta M. Goldring, Kenneth I. Berger, Beno W. Oppenheimer, Eugene Wesley Ely, Ognjen Gajic, Brian W. Pickering, David A. Schoenfeld, Irena Tocino, Russell S. Gonnering, Peter J. Pronovost, Lucy A. Savitz, Didier Dreyfuss, Arthur S. Slutsky, James D. Crapo, Derek C. Angus, Michael R. Pinsky, Brent James, Donald M. Berwick:
Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. J. Am. Medical Informatics Assoc. 28(6): 1330-1344 (2021) - [c10]Keyuan Jiang, Dingkai Zhang, Gordon R. Bernard:
Extraction of Medication-Effect Relations in Twitter Data with Neural Embedding and Recurrent Neural Network. MedInfo 2021: 767-771 - [c9]Keyuan Jiang, Dingkai Zhang, Gordon R. Bernard:
Mining Medication-Effect Relations from Twitter Data Using Pre-trained Transformer Language Model. PKDD/ECML Workshops (2) 2021: 468-478 - 2020
- [c8]Keyuan Jiang, Liyuan Huang, Tingyu Chen, Gelareh Karbaschi, Dingkai Zhang, Gordon R. Bernard:
Mining Potentially Unreported Effects from Twitter Posts through Relational Similarity: A Case for Opioids. BIBM 2020: 2603-2609 - [c7]Keyuan Jiang, Shichao Feng, Liyuan Huang, Tingyu Chen, Gordon R. Bernard:
Mining Potential Effects of HUMIRA in Twitter Posts Through Relational Similarity. MIE 2020: 874-878 - [p1]Keyuan Jiang, Shichao Feng, Ricardo A. Calix, Gordon R. Bernard:
Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses. Precision Health and Medicine 2020: 45-55
2010 – 2019
- 2019
- [c6]Keyuan Jiang, Tingyu Chen, Liyuan Huang, Ravish Gupta, Ricardo A. Calix, Gordon R. Bernard:
An Explainable Approach of Inferring Potential Medication Effects from Social Media Data. KR4HC/ProHealth/TEAAM@AIME 2019: 82-92 - [c5]Keyuan Jiang, Tingyu Chen, Ricardo A. Calix, Gordon R. Bernard:
Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations. EMBC 2019: 6093-6096 - [c4]Keyuan Jiang, Tingyu Chen, Liyuan Huang, Gelareh Karbaschi, Gordon R. Bernard:
Semantic Similarity of Side Effect and Indication Relations of Drugs Inferred from Neural Embedding. SEPDA@ISWC 2019: 68-77 - 2018
- [j3]Keyuan Jiang, Shichao Feng, Qunhao Song, Ricardo A. Calix, Matrika Gupta, Gordon R. Bernard:
Identifying tweets of personal health experience through word embedding and LSTM neural network. BMC Bioinform. 19-S(8): 67-74 (2018) - [c3]Keyuan Jiang, Tingyu Chen, Ricardo A. Calix, Gordon R. Bernard:
Identifying Consumer Health Terms of Side Effects in Twitter Posts. ICIMTH 2018: 273-276 - [c2]Keyuan Jiang, Tingyu Chen, Liyuan Huang, Ricardo A. Calix, Gordon R. Bernard:
A Data-Driven Method of Discovering Misspellings of Medication Names on Twitter. MIE 2018: 136-140 - 2017
- [j2]Andrew C. McKown, Li Wang, Jonathan P. Wanderer, Jesse M. Ehrenfeld, Todd W. Rice, Gordon R. Bernard, Matthew W. Semler:
Predicting Major Adverse Kidney Events among Critically Ill Adults Using the Electronic Health Record. J. Medical Syst. 41(10): 156:1-156:7 (2017) - [c1]Keyuan Jiang, Ravish Gupta, Matrika Gupta, Ricardo A. Calix, Gordon R. Bernard:
Identifying personal health experience tweets with deep neural networks. EMBC 2017: 1174-1177 - 2011
- [j1]Paul A. Harris, Jonathan A. Swafford, Terri L. Edwards, Minhua Zhang, Shraddha S. Nigavekar, Tonya R. Yarbrough, Lynda D. Lane, Tara Helmer, Laurie A. Lebo, Gail Mayo, Daniel R. Masys, Gordon R. Bernard, Jill M. Pulley:
StarBRITE: The Vanderbilt University Biomedical Research Integration, Translation and Education portal. J. Biomed. Informatics 44(4): 655-662 (2011)
Coauthor Index
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