StarBRITE: The Vanderbilt University Biomedical Research Integration, Translation and Education portal. - 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; et al. (J. Biomed. Informatics, 2011)

Identifying personal health experience tweets with deep neural networks. - Keyuan Jiang; Ravish Gupta; Matrika Gupta; Ricardo A. Calix; Gordon R. Bernard (EMBC, 2017)

Predicting Major Adverse Kidney Events among Critically Ill Adults Using the Electronic Health Record. - Andrew C. McKown; Li Wang; Jonathan P. Wanderer; Jesse M. Ehrenfeld; Todd W. Rice; Gordon R. Bernard; Matthew W. Semler (J. Medical Syst., 2017)

Identifying Consumer Health Terms of Side Effects in Twitter Posts. - Keyuan Jiang; Tingyu Chen; Ricardo A. Calix; Gordon R. Bernard (ICIMTH, 2018)

A Data-Driven Method of Discovering Misspellings of Medication Names on Twitter. - Keyuan Jiang; Tingyu Chen; Liyuan Huang; Ricardo A. Calix; Gordon R. Bernard (MIE, 2018)

Identifying tweets of personal health experience through word embedding and LSTM neural network. - Keyuan Jiang; Shichao Feng; Qunhao Song; Ricardo A. Calix; Matrika Gupta; Gordon R. Bernard (BMC Bioinform., 2018)

An Explainable Approach of Inferring Potential Medication Effects from Social Media Data. - Keyuan Jiang; Tingyu Chen; Liyuan Huang; Ravish Gupta; Ricardo A. Calix; Gordon R. Bernard (KR4HC/ProHealth/TEAAM@AIME, 2019)

Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations. - Keyuan Jiang; Tingyu Chen; Ricardo A. Calix; Gordon R. Bernard (EMBC, 2019)

Semantic Similarity of Side Effect and Indication Relations of Drugs Inferred from Neural Embedding. - Keyuan Jiang; Tingyu Chen; Liyuan Huang; Gelareh Karbaschi; Gordon R. Bernard (SEPDA@ISWC, 2019)

Mining Potentially Unreported Effects from Twitter Posts through Relational Similarity: A Case for Opioids. - Keyuan Jiang; Liyuan Huang; Tingyu Chen; Gelareh Karbaschi; Dingkai Zhang; Gordon R. Bernard (BIBM, 2020)

Mining Potential Effects of HUMIRA in Twitter Posts Through Relational Similarity. - Keyuan Jiang; Shichao Feng; Liyuan Huang; Tingyu Chen; Gordon R. Bernard (MIE, 2020)

Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses. - Keyuan Jiang; Shichao Feng; Ricardo A. Calix; Gordon R. Bernard (Precision Health and Medicine, 2020)

Extraction of Medication-Effect Relations in Twitter Data with Neural Embedding and Recurrent Neural Network. - Keyuan Jiang; Dingkai Zhang; Gordon R. Bernard (MedInfo, 2021)

Mining Medication-Effect Relations from Twitter Data Using Pre-trained Transformer Language Model. - Keyuan Jiang; Dingkai Zhang; Gordon R. Bernard (PKDD/ECML Workshops (2), 2021)

Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. - 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; et al. (J. Am. Medical Informatics Assoc., 2021)

Discovery of COVID-19 Symptomatic Experience Reported by Twitter Users. - Keyuan Jiang; Minghao Zhu; Gordon R. Bernard (MIE, 2022)

Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-trained Transformer Language Models. - Keyuan Jiang; Minghao Zhu; Gordon R. Bernard (PKDD/ECML Workshops (2), 2022)

Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy. - 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; et al. (J. Am. Medical Informatics Assoc., 2022)

Detection of Day-Based Health Evidence with Pretrained Large Language Models: A Case of COVID-19 Symptoms in Social Media Posts. - Keyuan Jiang; Valli Devendra; Soniya Chavan; Gordon R. Bernard (BIBM, 2023)

Answering List-Type Questions in Health Domain with Pretrained Large Language Model: A Case for COVID-19 Symptoms. - Keyuan Jiang; Mohammed M. Mujtaba; Gordon R. Bernard (MedInfo, 2023)

Large Language Model as Unsupervised Health Information Retriever. - Keyuan Jiang; Mohammed M. Mujtaba; Gordon R. Bernard (MIE, 2023)

The Ability of Pretrained Large Language Models in Understanding Health Concepts in Social Media Posts. - Keyuan Jiang; Gordon R. Bernard (BIBM, 2024)