Gordon R. Bernard

25 papers B 1Journal 6Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Neural Embedding Approach to Mapping Health Concepts to Concept Unique Identifiers. MedInfo Keyuan Jiang, Gordon R. Bernard
2025	J	`jnl`	A REDCap advanced randomization module to meet the needs of modern trials. J. Biomed. Informatics Luke Stevens, Nan Kennedy, Robert J. Taylor, Adam A. Lewis, Frank E. Harrell, Matthew S. Shotwell, Emily S. Serdoz, Gordon R. Bernard, Wesley H. Self, Christopher J. Lindsell, Paul A. Harris, Jonathan D. Casey
2025	B	`conf`	Batch Classification of Text Data for Personal Health Experience Identification with LLM Batch Prompting. IEEE Big Data Keyuan Jiang, Iram Azam, Gordon R. Bernard
2024	—	`conf`	The Ability of Pretrained Large Language Models in Understanding Health Concepts in Social Media Posts. BIBM Keyuan Jiang, Gordon R. Bernard
2023	—	`conf`	Answering List-Type Questions in Health Domain with Pretrained Large Language Model: A Case for COVID-19 Symptoms. MedInfo Keyuan Jiang, Mohammed M. Mujtaba, Gordon R. Bernard
2023	—	`conf`	Detection of Day-Based Health Evidence with Pretrained Large Language Models: A Case of COVID-19 Symptoms in Social Media Posts. BIBM Keyuan Jiang, Valli Devendra, Soniya Chavan, Gordon R. Bernard
2023	—	`conf`	Large Language Model as Unsupervised Health Information Retriever. MIE Keyuan Jiang, Mohammed M. Mujtaba, Gordon R. Bernard
2022	J	`jnl`	Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy. J. Am. Medical Informatics Assoc. 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
2022	—	`conf`	Discovery of COVID-19 Symptomatic Experience Reported by Twitter Users. MIE Keyuan Jiang, Minghao Zhu, Gordon R. Bernard
2022	—	`conf`	Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-trained Transformer Language Models. PKDD/ECML Workshops (2) Keyuan Jiang, Minghao Zhu, Gordon R. Bernard
2021	J	`jnl`	Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. J. Am. Medical Informatics Assoc. 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
2021	—	`conf`	Extraction of Medication-Effect Relations in Twitter Data with Neural Embedding and Recurrent Neural Network. MedInfo Keyuan Jiang, Dingkai Zhang, Gordon R. Bernard
2021	—	`conf`	Mining Medication-Effect Relations from Twitter Data Using Pre-trained Transformer Language Model. PKDD/ECML Workshops (2) Keyuan Jiang, Dingkai Zhang, Gordon R. Bernard
2020	—	`ch.`	Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses. Precision Health and Medicine Keyuan Jiang, Shichao Feng, Ricardo A. Calix, Gordon R. Bernard
2020	—	`conf`	Mining Potential Effects of HUMIRA in Twitter Posts Through Relational Similarity. MIE Keyuan Jiang, Shichao Feng, Liyuan Huang, Tingyu Chen, Gordon R. Bernard
2020	—	`conf`	Mining Potentially Unreported Effects from Twitter Posts through Relational Similarity: A Case for Opioids. BIBM Keyuan Jiang, Liyuan Huang, Tingyu Chen, Gelareh Karbaschi, Dingkai Zhang, Gordon R. Bernard
2019	—	`conf`	An Explainable Approach of Inferring Potential Medication Effects from Social Media Data. KR4HC/ProHealth/TEAAM@AIME Keyuan Jiang, Tingyu Chen, Liyuan Huang, Ravish Gupta, Ricardo A. Calix, Gordon R. Bernard
2019	—	`conf`	Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations. EMBC Keyuan Jiang, Tingyu Chen, Ricardo A. Calix, Gordon R. Bernard
2019	—	`conf`	Semantic Similarity of Side Effect and Indication Relations of Drugs Inferred from Neural Embedding. SEPDA@ISWC Keyuan Jiang, Tingyu Chen, Liyuan Huang, Gelareh Karbaschi, Gordon R. Bernard
2018	—	`conf`	A Data-Driven Method of Discovering Misspellings of Medication Names on Twitter. MIE Keyuan Jiang, Tingyu Chen, Liyuan Huang, Ricardo A. Calix, Gordon R. Bernard
2018	—	`conf`	Identifying Consumer Health Terms of Side Effects in Twitter Posts. ICIMTH Keyuan Jiang, Tingyu Chen, Ricardo A. Calix, Gordon R. Bernard
2018	J	`jnl`	Identifying tweets of personal health experience through word embedding and LSTM neural network. BMC Bioinform. Keyuan Jiang, Shichao Feng, Qunhao Song, Ricardo A. Calix, Matrika Gupta, Gordon R. Bernard
2017	—	`conf`	Identifying personal health experience tweets with deep neural networks. EMBC Keyuan Jiang, Ravish Gupta, Matrika Gupta, Ricardo A. Calix, Gordon R. Bernard
2017	J	`jnl`	Predicting Major Adverse Kidney Events among Critically Ill Adults Using the Electronic Health Record. J. Medical Syst. Andrew C. McKown, Li Wang, Jonathan P. Wanderer, Jesse M. Ehrenfeld, Todd W. Rice, Gordon R. Bernard, Matthew W. Semler
2011	J	`jnl`	StarBRITE: The Vanderbilt University Biomedical Research Integration, Translation and Education portal. J. Biomed. Informatics 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