Off-the-Record Instant Messaging for Group Conversation. - Jiang Bian 001; Remzi Seker; Umit Topaloglu (IRI, 2007)

A role-based secure group communication framework. - Jiang Bian 001; Umit Topaloglu; Remzi Seker; Coskun Bayrak; Chia-Chu Chiang (SoSE, 2008)

Off-the-Record Secure Chat Room. - Jiang Bian 001; Remzi Seker; Umit Topaloglu; Coskun Bayrak (WEBIST (1), 2008)

JigDFS: A secure distributed file system. - Jiang Bian 001; Remzi Seker (CICS, 2009)

JigDFS in container communities for international cargo security. - Jiang Bian 001; Remzi Seker; Srini Ramaswamy (CSIIRW, 2009)

JigDFS for Implementing Secure Container Communities. - Jiang Bian 001; Remzi Seker; Srini Ramaswamy (SMC, 2009)

Design of a Lattice-based Access Control Scheme. - Chia-Chu Chiang; Coskun Bayrak; Remzi Seker; Umit Topaloglu; Rustu Murat Demirer; Nasrola Samadi; Suleyman Tek; Jiang Bian 001; GuangXu Zhou; Xiaoran Wang (SMC, 2009)

A Secure Distributed File System for Medical Image Archiving. - Jiang Bian 001; Remzi Seker; Umit Topaloglu (SocialCom/PASSAT, 2010)

Collaborations, mergers, acquisitions, and security policy conflict analysis. - Vimalathithan Subramanian; Remzi Seker; Jiang Bian 001; Nitin Kanaskar (CSIIRW, 2011)

A methodology for empirical analysis of brain connectivity through graph mining. - Jiang Bian 001; Josh M. Cisler; Mengjun Xie; George Andrew James; Remzi Seker; Clinton D. Kilts (SMC, 2011)

Towards large-scale twitter mining for drug-related adverse events. - Jiang Bian 001; Umit Topaloglu; Fan Yu (SHB, 2012)

Dynamical System Theory for the Detection of Anomalous Behavior in Computer Programs. - Nitin Kanaskar; Remzi Seker; Jiang Bian 001; Vir V. Phoha (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Understanding biomedicai research collaborations through social network analysis: A case study. - Jiang Bian 001; Mengjun Xie; Umit Topaloglu; Teresa Hudson; William R. Hogan (BIBM, 2013)

SIM: A smartphone-based identity management framework and its application to Arkansas trauma image repository. - Mengjun Xie; Umit Topaloglu; Thomas Powell 003; Chao Peng; Jiang Bian 001 (BIBM, 2013)

CamTalk: A Bidirectional Light Communications Framework for Secure Communications on Smartphones. - Mengjun Xie; Liang Hao; Kenji Yoshigoe; Jiang Bian 001 (SecureComm, 2013)

The Jigsaw secure distributed file system. - Jiang Bian 001; Remzi Seker (Comput. Electr. Eng., 2013)

LightGraph: Lighten Communication in Distributed Graph-Parallel Processing. - Yue Zhao 014; Kenji Yoshigoe; Mengjun Xie; Suijian Zhou; Remzi Seker; Jiang Bian 001 (BigData Congress, 2014)

USign - A security enhanced electronic consent model. - Yanyan Li; Mengjun Xie; Jiang Bian 001 (EMBC, 2014)

Social network analysis of biomedical research collaboration networks in a CTSA institution. - Jiang Bian 001; Mengjun Xie; Umit Topaloglu; Teresa Hudson; Hari Eswaran; William R. Hogan (J. Biomed. Informatics, 2014)

Evaluation and Analysis of Distributed Graph-Parallel Processing Frameworks. - Yue Zhao 014; Kenji Yoshigoe; Mengjun Xie; Suijian Zhou; Remzi Seker; Jiang Bian 001 (J. Cyber Secur. Mobil., 2014)

Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms. - Amanda Hicks; William R. Hogan; Michael W. Rutherford; Bradley A. Malin; Mengjun Xie; Christiane Fellbaum; Zhijun Yin; Daniel Fabbri; Josh Hanna; Jiang Bian 001 (AMIA, 2015)

CamAuth: Securing Web Authentication with Camera. - Mengjun Xie; Yanyan Li; Kenji Yoshigoe; Remzi Seker; Jiang Bian 001 (HASE, 2015)

Comparison of PIN- and pattern-based behavioral biometric authentication on mobile devices. - Yanyan Li; Junshuang Yang; Mengjun Xie; Dylan Carlson; Han Gil Jang; Jiang Bian 001 (MILCOM, 2015)

Assessing the comorbidity gap between clinical studies and prevalence in elderly patient populations. - Zhe He 001; Neil Charness; Jiang Bian 001; William R. Hogan (BHI, 2016)

Analysis of temporal constraints in qualitative eligibility criteria of cancer clinical studies. - Zhe He 001; Zhiwei Chen; Jiang Bian 001 (BIBM, 2016)

Towards an obesity-cancer knowledge base: Biomedical entity identification and relation detection. - Juan Antonio Lossio-Ventura; William R. Hogan; François Modave; Amanda Hicks; Josh Hanna; Yi Guo 005; Zhe He 001; Jiang Bian 001 (BIBM, 2016)

SEGAUTH: A segment-based approach to behavioral biometric authentication. - Yanyan Li; Mengjun Xie; Jiang Bian 001 (CNS, 2016)

Assessing the population representativeness of colorectal cancer treatment clinical trials. - Zhe He 001; Zhiwei Chen; Thomas J. George; Gloria P. Lipori; Jiang Bian 001 (EMBC, 2016)

Examining Healthcare Utilization Patterns of Elderly and Middle-Aged Adults in the United States. - Cilia E. Zayas; Zhe He 001; Jiawei Yuan; Mildred Maldonado-Molina; William R. Hogan; François Modave; Yi Guo 005; Jiang Bian 001 (FLAIRS, 2016)

An Analysis of WordNet's Coverage of Gender Identity Using Twitter and The National Transgender Discrimination Survey. - Amanda Hicks; Michael W. Rutherford; Christiane Fellbaum; Jiang Bian 001 (GWC, 2016)

Visual programming for next-generation sequencing data analytics. - Franco Milicchio; Rebecca Rose; Jiang Bian 001; Jae Min; Mattia Prosperi (BioData Min., 2016)

An accurate and precise representation of drug ingredients. - Josh Hanna; Jiang Bian 001; William R. Hogan (J. Biomed. Semant., 2016)

A Distributed Graph-Parallel Computing System with Lightweight Communication Overhead. - Yue Zhao 014; Kenji Yoshigoe; Jiang Bian 001; Mengjun Xie; Zhe Xue; Yong Feng (IEEE Trans. Big Data, 2016)

A Visual Analysis Tool of Qualitative Eligibility Criteria of Clinical Studies. - Zhe He 001; Zhiwei Chen; Sarah Mixon; Jiang Bian 001 (AMIA, 2017)

Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus. - Zhe He 001; Arturo Gonzalez-Izquierdo; Spiros C. Denaxas; Andrei Sura; Yi Guo 005; William R. Hogan; Elizabeth Shenkman; Jiang Bian 001 (AMIA, 2017)

Implementing a Hash-based Privacy-Preserving Entity Resolution Tool in the OneFlorida Clinical Data Research Network. - Jiang Bian 001; Andrei Sura; Gloria P. Lipori; Yi Guo 005; François Modave; Zhe He 001; Elizabeth Shenkman; William R. Hogan (AMIA, 2017)

Building an Obesity and Cancer Semantic Web Knowledge Base. - Juan Antonio Lossio-Ventura; William R. Hogan; François Modave; Amanda Hicks; Yi Guo 005; Zhe He 001; Mirela Vasconcelos; Jiang Bian 001 (AMIA, 2017)

A Twitter Study of the Relationship between the Geographic Variations of HPV Vaccination Rates and Online Information in the United States. - Hansi Zhang; Yunpeng Zhao; Christopher Wheldon; Xinsong Du; Terrell Brown; Yi Guo 005; Stephanie Staras; Jingcheng Du; Cui Tao; Jiang Bian 001 (AMIA, 2017)

Auditing the assignments of top-level semantic types in the UMLS semantic network to UMLS concepts. - Zhe He 001; Yehoshua Perl; Gai Elhanan; Yan Chen 009; James Geller; Jiang Bian 001 (BIBM, 2017)

An exploration of semantic relations in neural word embeddings using extrinsic knowledge. - Zhiwei Chen; Zhe He 001; Xiuwen Liu; Jiang Bian 001 (BIBM, 2017)

OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base. - Juan Antonio Lossio-Ventura; William R. Hogan; François Modave; Yi Guo 005; Zhe He 001; Amanda Hicks; Jiang Bian 001 (BIBM, 2017)

Data integration through ontology-based data access to support integrative data analysis: A case study of cancer survival. - Hansi Zhang; Yi Guo 005; Qian Li 034; Thomas J. George; Elizabeth A. Shenkman; Jiang Bian 001 (BIBM, 2017)

Ontology of Cancer Related Social-Ecological Variables. - Dharani K. Balasubramanian; Jamillah Z. Khan; Jiang Bian 001; Yi Guo 005; William R. Hogan; Amanda Hicks (ICBO, 2017)

Explore Care Pathways of Colorectal Cancer Patients with Social Network Analysis. - Tianyao Huo; Thomas J. George Jr.; Yi Guo 005; Zhe He 001; Mattia Prosperi; François Modave; Jiang Bian 001 (MedInfo, 2017)

The Building Blocks of Inter-operability. - Adam Culbertson; Satyender Goel; Margaret B. Madden; Niloufar Safaeinili; Kathryn L. Jackson; Thomas Carton; Russ Waitman; Mei Liu; Ashok Krishnamurthy; Lauren Hall; Nickie Cappella; Shyam Visweswaran; et al. (Appl. Clin. Inform., 2017)

Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach. - Zhe He 001; Zhiwei Chen; Sanghee Oh; Jinghui Hou; Jiang Bian 001 (J. Biomed. Informatics, 2017)

Towards a privacy preserving cohort discovery framework for clinical research networks. - Jiawei Yuan; Bradley A. Malin; François Modave; Yi Guo 005; William R. Hogan; Elizabeth Shenkman; Jiang Bian 001 (J. Biomed. Informatics, 2017)

Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition. - Yonghui Wu; Xi Yang 015; Jiang Bian 001; Yi Guo 005; Hua Xu 001; William R. Hogan (AMIA, 2018)

Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials. - Hansi Zhang; Zhe He 001; Xing He 003; Yi Guo 005; David R. Nelson; François Modave; Yonghui Wu; William R. Hogan; Mattia Prosperi; Jiang Bian 001 (AMIA, 2018)

Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph. - Xing He 003; Rui Zhang 028; Rubina F. Rizvi; Jake Vasilakes; Xi Yang 015; Yi Guo 005; Zhe He 001; Mattia Prosperi; Jiang Bian 001 (BIBM, 2018)

An inside look at the Opioid Crisis over Twitter. - Juan Antonio Lossio-Ventura; Jiang Bian 001 (BIBM, 2018)

Detecting Signals of Associations Between Dietary Supplement Use and Mental Disorders from Twitter. - Yefeng Wang; Yunpeng Zhao; Jiang Bian 001; Rui Zhang 028 (ICHI Workshops, 2018)

Assessing Mental Health Signals Among Sexual and Gender Minorities using Twitter Data. - Yunpeng Zhao; Yi Guo 005; Xing He 003; Jinhai Huo; Yonghui Wu; Xi Yang 015; Jiang Bian 001 (ICHI Workshops, 2018)

Detecting Medications and Adverse Drug Events in Clinical Notes Using Recurrent Neural Networks. - Xi Yang 015; Jiang Bian 001; Yonghui Wu (Medication and Adverse Drug Event Detection, 2018)

An Operational Deep Learning Pipeline for Classifying Life Events from Individual Tweets. - Xinsong Du; Jiang Bian 001; Mattia Prosperi (SIMBig, 2018)

Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. - Laura A. Barrett; Seyedeh Neelufar Payrovnaziri; Jiang Bian 001; Zhe He 001 (CoRR, 2018)

Assessing the practice of biomedical ontology evaluation: Gaps and opportunities. - Muhammad Amith; Zhe He 001; Jiang Bian 001; Juan Antonio Lossio-Ventura; Cui Tao (J. Biomed. Informatics, 2018)

Learning bundled care opportunities from electronic medical records. - You Chen 001; Abel N. Kho; David M. Liebovitz; Catherine Ivory; Sarah Osmundson; Jiang Bian 001; Bradley A. Malin (J. Biomed. Informatics, 2018)

A novel framework for biomedical entity sense induction. - Juan Antonio Lossio-Ventura; Jiang Bian 001; Clément Jonquet; Mathieu Roche; Maguelonne Teisseire (J. Biomed. Informatics, 2018)

Development of a personalized diagnostic model for kidney stone disease tailored to acute care by integrating large clinical, demographics and laboratory data: the diagnostic acute care algorithm - kidney stones (DACA-KS). - Zhaoyi Chen; Victoria Y. Bird; Rupam Ruchi; Mark S. Segal; Jiang Bian 001; Saeed R. Khan; Marie-Carmelle Elie; Mattia Prosperi (BMC Medical Informatics Decis. Mak., 2018)

Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. - Zhiwei Chen; Zhe He 001; Xiuwen Liu; Jiang Bian 001 (BMC Medical Informatics Decis. Mak., 2018)

Correction to: Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. - Zhiwei Chen; Zhe He 001; Xiuwen Liu; Jiang Bian 001 (BMC Medical Informatics Decis. Mak., 2018)

Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017). - Zhe He 001; Cui Tao; Jiang Bian 001; Rui Zhang 028; Jingshan Huang (BMC Medical Informatics Decis. Mak., 2018)

OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system. - Juan Antonio Lossio-Ventura; William R. Hogan; François Modave; Yi Guo 005; Zhe He 001; Xi Yang 015; Hansi Zhang; Jiang Bian 001 (BMC Medical Informatics Decis. Mak., 2018)

Big data hurdles in precision medicine and precision public health. - Mattia Prosperi; Jae Min; Jiang Bian 001; François Modave (BMC Medical Informatics Decis. Mak., 2018)

An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival. - Hansi Zhang; Yi Guo 005; Qian Li 034; Thomas J. George; Elizabeth Shenkman; François Modave; Jiang Bian 001 (BMC Medical Informatics Decis. Mak., 2018)

Assessing the Validity of a a priori Patient-Trial Generalizability Score using Real-world Data from a Large Clinical Data Research Network: A Colorectal Cancer Clinical Trial Case Study. - Qian Li 034; Zhe He 001; Yi Guo 005; Hansi Zhang; Thomas J. George; William R. Hogan; Neil Charness; Jiang Bian 001 (AMIA, 2019)

Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods. - Xi Yang 015; Yan Gong; Nida Waheed; Keith March; Jiang Bian 001; William R. Hogan; Yonghui Wu (AMIA, 2019)

Clustering and topic modeling over tweets: A comparison over a health dataset. - Juan Antonio Lossio-Ventura; Juandiego Morzan; Hugo Alatrista-Salas; Tina Hernandez-Boussard; Jiang Bian 001 (BIBM, 2019)

Towards an Interactive Visualization for Dietary Supplement Knowledge Graph. - Xing He 003; Jiang Bian 001 (ICHI, 2019)

STAT: A Web-based Semantic Text Annotation Tool to Assist Building Mental Health Knowledge Base. - Xing He 003; Hansi Zhang; Xi Yang 015; Yi Guo 005; Jiang Bian 001 (ICHI, 2019)

A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings. - Xi Yang 015; Tianchen Lyu; Chih-Yin Lee; Jiang Bian 001; William R. Hogan; Yonghui Wu (ICHI, 2019)

Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms. - Sicheng Zhou; Yunpeng Zhao; Rubina F. Rizvi; Jiang Bian 001; Ann F. Haynos; Rui Zhang 028 (ICHI, 2019)

Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter. - François Modave; Yunpeng Zhao; Janice L. Krieger; Zhe He 001; Yi Guo 005; Jinhai Huo; Mattia Prosperi; Jiang Bian 001 (MedInfo, 2019)

Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. - Seyedeh Neelufar Payrovnaziri; Laura A. Barrett; Daniel Bis; Jiang Bian 001; Zhe He 001 (MedInfo, 2019)

Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements. - Rubina F. Rizvi; Yefeng Wang; Thao Nguyen; Jake Vasilakes; Jiang Bian 001; Zhe He 001; Rui Zhang 028 (MedInfo, 2019)

Exploring Lung Cancer Screening Discussions on Twitter. - Yunpeng Zhao; Jinhai Huo; Mattia Prosperi; Yi Guo 005; Yongqiu Li; Jiang Bian 001 (MedInfo, 2019)

Ontology for Documentation of Variable and Data Source Selection Process to Support Integrative Data Analysis in Cancer Outcomes Research. - Hansi Zhang; Yi Guo 005; Jiang Bian 001 (SEPDA@ISWC, 2019)

Aero: An Evidence-based Semantic Web Knowledge Base of Cancer Behavioral Risk Factors. - Hansi Zhang; Xing He 003; Tyler Harrison; Jiang Bian 001 (SEPDA@ISWC, 2019)

Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements. - Rubina F. Rizvi; Yefeng Wang; Thao Nguyen; Jake Vasilakes; Jiang Bian 001; Zhe He 001; Rui Zhang 028 (CoRR, 2019)

Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States. - Hansi Zhang; Christopher Wheldon; Adam G. Dunn; Cui Tao; Jinhai Huo; Rui Zhang 028; Mattia Prosperi; Yi Guo 005; Jiang Bian 001 (CoRR, 2019)

Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review. - Tamara Goncalves Rezende Macieira; Tania C. M. Chianca; Madison B. Smith; Yingwei Yao; Jiang Bian 001; Diana J. Wilkie; Karen Dunn Lopez; Gail M. Keenan (J. Am. Medical Informatics Assoc., 2019)

Selected articles from the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018). - Zhe He 001; Jiang Bian 001; Cui Tao; Rui Zhang 028 (BMC Medical Informatics Decis. Mak., 2019)

ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design. - Xing He 003; Rui Zhang 028; Rubina F. Rizvi; Jake Vasilakes; Xi Yang 015; Yi Guo 005; Zhe He 001; Mattia Prosperi; Jinhai Huo; Jordan Alpert; Jiang Bian 001 (BMC Medical Informatics Decis. Mak., 2019)

A study of deep learning methods for de-identification of clinical notes in cross-institute settings. - Xi Yang 015; Tianchen Lyu; Qian Li 034; Chih-Yin Lee; Jiang Bian 001; William R. Hogan; Yonghui Wu (BMC Medical Informatics Decis. Mak., 2019)

Is it time to rethink institutional review boards for the era of big data? - Mattia Prosperi; Jiang Bian 001 (Nat. Mach. Intell., 2019)

Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media. - Jingcheng Du; Rachel Cunningham; Yang Xiang 001; Fang Li 011; Yuxi Jia; Julie A. Boom; Sahiti Myneni; Jiang Bian 001; Chongliang Luo; Yong Chen 016; Cui Tao (npj Digit. Medicine, 2019)

Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups. - Yi Guo 005; Xing He 003; Tianchen Lyu; Hansi Zhang; Yonghui Wu; Xi Yang 015; Zhaoyi Chen; Merry J. Markham; François Modave; Mengjun Xie; William R. Hogan; Christopher A. Harle; et al. (AMIA, 2020)

Assessment of Clinical Decision Support (CDS) formats for Supporting Nurses' Palliative Care Planning Decisions. - Hwayoung Cho; Karen Dunn Lopez; Yingwei Yao; Ragnhildur I. Bjarnadottir; Jiang Bian 001; Diana J. Wilkie; Gail M. Keenan (AMIA, 2020)

Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD). - Rui Duan 004; Zhaoyi Chen; Jiayi Tong; Chongliang Luo; Tianchen Lyu; Cui Tao; Demetrius Maraganore; Jiang Bian 001; Yong Chen 016 (AMIA, 2020)

Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria: a case study on Alzheimer's Disease and Donepezil. - Qian Li 034; Yi Guo 005; Zhe He 001; Hansi Zhang; Thomas J. George; Jiang Bian 001 (AMIA, 2020)

Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network. - Jiayi Tong; Zhaoyi Chen; Rui Duan 004; Wei-Hsuan Lo-Ciganic; Tianchen Lyu; Cui Tao; Peter A. Merkel; Henry R. Kranzler; Jiang Bian 001; Yong Chen 016 (AMIA, 2020)

Multivariate Independence Set Search via Progressive Addition for Conditional Markov Acyclic Networks. - Mattia Prosperi; Jiang Bian 001; Mo Wang (BIBM, 2020)

A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives. - Xi Yang 015; Hanyuan Yang; Tianchen Lyu; Shuang Yang; Yi Guo 005; Jiang Bian 001; Hua Xu 001; Yonghui Wu (ICHI, 2020)

Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets. - Yunpeng Zhao; Mattia Prosperi; Tianchen Lyu; Yi Guo 005; Le Zhou; Jiang Bian 001 (IEA/AIE, 2020)

Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets. - Yunpeng Zhao; Mattia Prosperi; Tianchen Lyu; Yi Guo 005; Jiang Bian 001 (CoRR, 2020)

When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information? - Xing He 003; Rui Zhang 028; Jordan Alpert; Sicheng Zhou; Terrence J. Adam; Aantaki Raisa; Yifan Peng 002; Hansi Zhang; Jiang Bian 001 (CoRR, 2020)

The rapid growth of intelligent systems in health and health care. - Jiang Bian 001; François Modave (Health Informatics J., 2020)

Exploring the semantics in mental health research. - Jiang Bian 001; Yaoyun Zhang; Cui Tao (Health Informatics J., 2020)

Assessing the effect of data integration on predictive ability of cancer survival models. - Yi Guo 005; Jiang Bian 001; François Modave; Qian Li 034; Thomas J. George; Mattia Prosperi; Elizabeth Shenkman (Health Informatics J., 2020)

Detecting associations between dietary supplement intake and sentiments within mental disorder tweets. - Yefeng Wang; Yunpeng Zhao; Jianqiu Zhang; Jiang Bian 001; Rui Zhang 028 (Health Informatics J., 2020)

Assessing mental health signals among sexual and gender minorities using Twitter data. - Yunpeng Zhao; Yi Guo 005; Xing He 003; Yonghui Wu; Xi Yang 015; Mattia Prosperi; Yanghua Jin; Jiang Bian 001 (Health Informatics J., 2020)

Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data. - Jiang Bian 001; Tianchen Lyu; Alexander T. Loiacono; Tonatiuh Mendoza Viramontes; Gloria P. Lipori; Yi Guo 005; Yonghui Wu; Mattia Prosperi; Thomas J. George; Christopher A. Harle; Elizabeth A. Shenkman; William R. Hogan (J. Am. Medical Informatics Assoc., 2020)

COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes. - Xiao Dong; Jianfu Li; Ekin Soysal; Jiang Bian 001; Scott L. DuVall; Elizabeth Hanchrow; Hongfang Liu; Kristine E. Lynch; Michael E. Matheny; Karthik Natarajan; Lucila Ohno-Machado; Serguei Pakhomov; et al. (J. Am. Medical Informatics Assoc., 2020)

Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. - Rui Duan 004; Chongliang Luo; Martijn J. Schuemie; Jiayi Tong; C. Jason Liang; Howard H. Chang; Mary Regina Boland; Jiang Bian 001; Hua Xu 001; John H. Holmes; Christopher B. Forrest; Sally C. Morton; et al. (J. Am. Medical Informatics Assoc., 2020)

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review. - Seyedeh Neelufar Payrovnaziri; Zhaoyi Chen; Pablo Rengifo-Moreno; Tim Miller 001; Jiang Bian 001; Jonathan H. Chen; Xiuwen Liu; Zhe He 001 (J. Am. Medical Informatics Assoc., 2020)

iDISK: the integrated DIetary Supplements Knowledge base. - Rubina F. Rizvi; Jake Vasilakes; Terrence J. Adam; Genevieve B. Melton; Jeffrey R. Bishop; Jiang Bian 001; Cui Tao; Rui Zhang 028 (J. Am. Medical Informatics Assoc., 2020)

Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting. - Xi Yang 015; Jiang Bian 001; Ruogu Fang; Ragnhildur I. Bjarnadottir; William R. Hogan; Yonghui Wu (J. Am. Medical Informatics Assoc., 2020)

Clinical concept extraction using transformers. - Xi Yang 015; Jiang Bian 001; William R. Hogan; Yonghui Wu (J. Am. Medical Informatics Assoc., 2020)

Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States. - Hansi Zhang; Christopher Wheldon; Adam G. Dunn; Cui Tao; Jinhai Huo; Rui Zhang 028; Mattia Prosperi; Yi Guo 005; Jiang Bian 001 (J. Am. Medical Informatics Assoc., 2020)

User-centered design of a web-based crowdsourcing-integrated semantic text annotation tool for building a mental health knowledge base. - Xing He 003; Hansi Zhang; Jiang Bian 001 (J. Biomed. Informatics, 2020)

Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019). - Zhe He 001; Cui Tao; Jiang Bian 001; Rui Zhang 028 (BMC Medical Informatics Decis. Mak., 2020)

An ontology-based documentation of data discovery and integration process in cancer outcomes research. - Hansi Zhang; Yi Guo 005; Mattia Prosperi; Jiang Bian 001 (BMC Medical Informatics Decis. Mak., 2020)

Causal inference and counterfactual prediction in machine learning for actionable healthcare. - Mattia Prosperi; Yi Guo 005; Matthew Sperrin; James S. Koopman; Jae S. Min; Xing He 003; Shannan N. Rich; Mo Wang; Iain E. Buchan; Jiang Bian 001 (Nat. Mach. Intell., 2020)

L-PowerGraph: a lightweight distributed graph-parallel communication mechanism. - Yue Zhao 014; Kenji Yoshigoe; Mengjun Xie; Jiang Bian 001; Ke Xiong 001 (J. Supercomput., 2020)

Validation of Real-World Data-based Endpoint Measures of Cancer Treatment Outcomes. - Qian Li 034; Hansi Zhang; Zhaoyi Chen; Yi Guo 005; Thomas J. George; Yong Chen 016; Fei Wang 001; Jiang Bian 001 (AMIA, 2021)

A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models. - Zehao Yu 001; Xi Yang 015; Chong Dang; Songzi Wu; Prakash Adekkanattu; Jyotishman Pathak; Thomas J. George; William R. Hogan; Yi Guo 005; Jiang Bian 001; Yonghui Wu (AMIA, 2021)

Developing an Ontology for Social and Behavioral Determinants of Health. - Hansi Zhang; Xi Yang 015; Thomas J. George; William R. Hogan; Jiang Bian 001; Yonghui Wu (AMIA, 2021)

Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets. - Yunpeng Zhao; Pengfei Yin; Yongqiu Li; Xing He 003; Jingcheng Du; Cui Tao; Yi Guo 005; Mattia Prosperi; Pierangelo Veltri; Xi Yang 015; Yonghui Wu; Jiang Bian 001 (AMIA, 2021)

Transformer-based named entity recognition for parsing clinical trial eligibility criteria. - Shubo Tian; Arslan Erdengasileng; Xi Yang 015; Yi Guo 005; Yonghui Wu; Jinfeng Zhang; Jiang Bian 001; Zhe He 001 (BCB, 2021)

Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset? - Mattia Prosperi; Shantanu Ghosh; Zhaoyi Chen; Marco Salemi; Tianchen Lyu; Jinying Zhao; Jiang Bian 001 (ICMHI, 2021)

Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. - Weishen Pan; Sen Cui; Jiang Bian 001; Changshui Zhang; Fei Wang 001 (KDD, 2021)

KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health. - Fei Wang 001; Prithwish Chakraborty; Tao Xu; Pei-Yun Sabrina Hsueh; Xudong Sun 014; Gregor Stiglic; Gracy Crane; Jiang Bian 001; Laleh Haghverdi; Lixia Yao; Florian Buettner 001 (KDD, 2021)

ReLF: Scalable Remote Live Forensics for Android. - Ruipeng Zhang; Mengjun Xie; Jiang Bian 001 (TrustCom, 2021)

Evaluation of clustering and topic modeling methods over health-related tweets and emails. - Juan Antonio Lossio-Ventura; Sergio Gonzales; Juandiego Morzan; Hugo Alatrista-Salas; Tina Hernandez-Boussard; Jiang Bian 001 (Artif. Intell. Medicine, 2021)

Applications of artificial intelligence in drug development using real-world data. - Zhaoyi Chen; Xiong Liu; William R. Hogan; Elizabeth Shenkman; Jiang Bian 001 (CoRR, 2021)

Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter. - Yefeng Wang; Yunpeng Zhao; Jiang Bian 001; Rui Zhang 028 (CoRR, 2021)

Clinical Relation Extraction Using Transformer-based Models. - Xi Yang 015; Zehao Yu 001; Yi Guo 005; Jiang Bian 001; Yonghui Wu (CoRR, 2021)

Challenges in replicating secondary analysis of electronic health records data with multiple computable phenotypes: A case study on methicillin-resistant Staphylococcus aureus bacteremia infections. - Inyoung Jun; Shannan N. Rich; Zhaoyi Chen; Jiang Bian 001; Mattia Prosperi (Int. J. Medical Informatics, 2021)

The application of artificial intelligence and data integration in COVID-19 studies: a scoping review. - Yi Guo 005; Yahan Zhang; Tianchen Lyu; Mattia Prosperi; Fei Wang 001; Hua Xu 001; Jiang Bian 001 (J. Am. Medical Informatics Assoc., 2021)

Deep propensity network using a sparse autoencoder for estimation of treatment effects. - Shantanu Ghosh; Jiang Bian 001; Yi Guo 005; Mattia Prosperi (J. Am. Medical Informatics Assoc., 2021)

Extracting social determinants of health from electronic health records using natural language processing: a systematic review. - Braja Gopal Patra; Mohit Manoj Sharma; Veer Vekaria; Prakash Adekkanattu; Olga V. Patterson; Benjamin S. Glicksberg; Lauren A. Lepow; Euijung Ryu; Joanna M. Biernacka; Al'ona Furmanchuk; Thomas J. George; William R. Hogan; et al. (J. Am. Medical Informatics Assoc., 2021)

Bagged random causal networks for interventional queries on observational biomedical datasets. - Mattia Prosperi; Yi Guo 005; Jiang Bian 001 (J. Biomed. Informatics, 2021)

Federated Learning for Healthcare Informatics. - Jie Xu 012; Benjamin S. Glicksberg; Chang Su 002; Peter B. Walker; Jiang Bian 001; Fei Wang 001 (J. Heal. Informatics Res., 2021)

Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease. - Zhaoyi Chen; Hansi Zhang; Yi Guo 005; Thomas J. George; Mattia Prosperi; William R. Hogan; Zhe He 001; Elizabeth A. Shenkman; Fei Wang 001; Jiang Bian 001 (npj Digit. Medicine, 2021)

Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials. - Aokun Chen; Qian Li 034; Xing He 003; Michael Jaffee; William R. Hogan; Fei Wang 001; Yi Guo 005; Jiang Bian 001 (AMIA, 2022)

DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation. - Shantanu Ghosh; Zheng Feng; Jiang Bian 001; Kevin Butler; Mattia Prosperi (AMIA, 2022)

Ontologies in the Behavioral Sciences: Accelerating Research and the Accessibility and Use of Knowledge. - Mark A. Musen; Jiang Bian 001; Bruce Chorpita; Vimla L. Patel; Cui Tao (AMIA, 2022)

Identification of Social and Racial Disparities in Risk of HIV Infection in Florida using Causal AI Methods. - Mattia Prosperi; Jie Xu 012; Jingchuan Serena Guo; Jiang Bian 001; Wei-Han William Chen; Shantrel Canidate; Simone Marini; Mo Wang (BIBM, 2022)

A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing. - Shuang Yang; Xi Yang 015; Tianchen Lyu; Xing He 003; Dejana Braithwaite; Hiren J. Mehta; Yi Guo 005; Yonghui Wu; Jiang Bian 001 (ICHI, 2022)

Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. - Tao Xu; Fei Wang 001; Prithwish Chakraborty; Pei-Yun Sabrina Hsueh; Gregor Stiglic; Jiang Bian 001; Lixia Yao; Alexej Gossmann; Florian Buettner 001 (KDD, 2022)

Assessing putative bias in prediction of anti-microbial resistance from real-world genotyping data under explicit causal assumptions. - Mattia Prosperi; Christina Boucher 001; Jiang Bian 001; Simone Marini (Artif. Intell. Medicine, 2022)

Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records. - Zhe He 001; Shubo Tian; Arslan Erdengasileng; Neil Charness; Jiang Bian 001 (CoRR, 2022)

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records. - Xi Yang 015; Nima M. Pournejatian; Hoo Chang Shin; Kaleb E. Smith; Christopher Parisien; Colin Compas; Cheryl Martin 002; Mona G. Flores; Ying Zhang; Tanja Magoc; Christopher A. Harle; Gloria P. Lipori; et al. (CoRR, 2022)

Joint Application of the Target Trial Causal Framework and Machine Learning Modeling to Optimize Antibiotic Therapy: Use Case on Acute Bacterial Skin and Skin Structure Infections due to Methicillin-resistant Staphylococcus aureus. - Inyoung Jun; Simone Marini; Christina Boucher 001; J. Glenn Morris; Jiang Bian 001; Mattia Prosperi (CoRR, 2022)

Variational Temporal Deconfounder for Individualized Treatment Effect Estimation from Longitudinal Observational Data. - Zheng Feng; Mattia Prosperi; Jiang Bian 001 (CoRR, 2022)

SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies. - Zehao Yu 001; Xi Yang 015; Chong Dang; Prakash Adekkanattu; Braja Gopal Patra; Yifan Peng 002; Jyotishman Pathak; Debbie L. Wilson; Ching-Yuan Chang; Wei-Hsuan Lo-Ciganic; Thomas J. George; William R. Hogan; et al. (CoRR, 2022)

A scoping review of semantic integration of health data and information. - Hansi Zhang; Tianchen Lyu; Pengfei Yin; Sarah Bost; Xing He 003; Yi Guo 005; Mattia Prosperi; William R. Hogan; Jiang Bian 001 (Int. J. Medical Informatics, 2022)

Biases in using social media data for public health surveillance: A scoping review. - Yunpeng Zhao; Xing He 003; Zheng Feng; Sarah Bost; Mattia Prosperi; Yonghui Wu; Yi Guo 005; Jiang Bian 001 (Int. J. Medical Informatics, 2022)

The OneFlorida Data Trust: a centralized, translational research data infrastructure of statewide scope. - William R. Hogan; Elizabeth A. Shenkman; Temple Robinson; Olveen Carasquillo; Patricia S. Robinson; Rebecca Z. Essner; Jiang Bian 001; Gigi Lipori; Christopher A. Harle; Tanja Magoc; Lizabeth Manini; Tona Mendoza; et al. (J. Am. Medical Informatics Assoc., 2022)

Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks. - Mackenzie J. Edmondson; Chongliang Luo; Md. Nazmul Islam; Natalie E. Sheils; John Buresh; Zhaoyi Chen; Jiang Bian 001; Yong Chen 016 (J. Biomed. Informatics, 2022)

A conversational agent system for dietary supplements use. - Esha Singh; Anusha Bompelli; Ruyuan Wan; Jiang Bian 001; Serguei Pakhomov; Rui Zhang 028 (BMC Medical Informatics Decis. Mak., 2022)

A large language model for electronic health records. - Xi Yang 015; Aokun Chen; Nima M. Pournejatian; Hoo Chang Shin; Kaleb E. Smith; Christopher Parisien; Colin Compas; Cheryl Martin 002; Anthony B. Costa; Mona G. Flores; Ying Zhang; Tanja Magoc; et al. (npj Digit. Medicine, 2022)

Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model. - Shubo Tian; Pengfei Yin; Hansi Zhang; Arslan Erdengasileng; Jiang Bian 001; Zhe He 001 (BIBM, 2023)

HSELDA: Heterogeneous Sub-Graph Learning for lncRNA-Disease Associations Prediction. - Tiancheng Zhou; Zachary Glanz; Mei Liu; Jiang Bian 001; Rui Yin; Hongyang Gao (BIBM, 2023)

On the Impact of Cross-Domain Data on German Language Models. - Amin Dada; Aokun Chen; Cheng Peng 009; Kaleb E. Smith; Ahmad Idrissi-Yaghir; Constantin Seibold; Jianning Li 002; Lars Heiliger; Christoph M. Friedrich; Daniel Truhn; Jan Egger; Jiang Bian 001; et al. (EMNLP (Findings), 2023)

Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients. - Aokun Chen; Qian Li 034; Elizabeth Shenkman; Yonghui Wu; Yi Guo 005; Jiang Bian 001 (ICHI, 2023)

Quantification of Racial Disparity on Urinary Tract Infection Recurrence and Treatment Resistance in Florida using Algorithmic Fairness Methods. - Inyoung Jun; Sarah E. S. Leary; Jie Xu 012; Jiang Bian 001; Mattia Prosperi (ICHI, 2023)

Assessing ChatGPT for Text Summarization, Simplification and Extraction Tasks. - Raseen Tariq; Sheza Malik; Mousumi Roy; Meena Z. Islam; Umair Rasheed; Jiang Bian 001; Kai Zheng 002; Rui Zhang 028 (ICHI, 2023)

Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. - Tao Xu; Fei Wang 001; Prithwish Chakraborty; Pei-Yun Sabrina Hsueh; Gregor Stiglic; Jiang Bian 001; Lixia Yao; Alexej Gossmann; Florian Buettner 001 (KDD, 2023)

Optimizing Dynamic Antibiotic Treatment Strategies against Invasive Methicillin-Resistant Staphylococcus Aureus Infections using Causal Survival Forests and G-Formula on Statewide Electronic Health Record Data. - Inyoung Jun; Scott A. Cohen; Sarah E. Ser; Simone Marini; Robert J. Lucero; Jiang Bian 001; Mattia Prosperi (CDPD, 2023)

Real-World Effectiveness of Lung Cancer Screening Using Deep Learning-Based Counterfactual Prediction. - Zheng Feng; Zhaoyi Chen; Yi Guo 005; Mattia Prosperi; Hiren J. Mehta; Dejana Braithwaite; Yonghui Wu; Jiang Bian 001 (MedInfo, 2023)

Fair Graph Distillation. - Qizhang Feng; Zhimeng Stephen Jiang; Ruiquan Li; Yicheng Wang; Na Zou 001; Jiang Bian 001; Xia Hu 001 (NeurIPS, 2023)

DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data. - Shantanu Ghosh; Zheng Feng; Jiang Bian 001; Kevin Butler; Mattia Prosperi (CoRR, 2023)

Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. - Gregor Stiglic; Leon Kopitar; Lucija Gosak; Primoz Kocbek; Zhe He 001; Prithwish Chakraborty; Pablo Meyer 001; Jiang Bian 001 (CoRR, 2023)

Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision. - Jan Egger; Christina Gsaxner; Xiaojun Chen 003; Jiang Bian 001; Jens Kleesiek; Behrus Puladi (CoRR, 2023)

Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D). - Yu Huang 018; Jingchuan Guo; William T. Donahoo; Zhengkang Fan; Ying Lu; Wei-Han William Chen; Huilin Tang; Lori Bilello; Elizabeth A. Shenkman; Jiang Bian 001 (CoRR, 2023)

On the Impact of Cross-Domain Data on German Language Models. - Amin Dada; Aokun Chen; Cheng Peng 009; Kaleb E. Smith; Ahmad Idrissi-Yaghir; Constantin Marc Seibold; Jianning Li 002; Lars Heiliger; Xi Yang 015; Christoph M. Friedrich; Daniel Truhn; Jan Egger; et al. (CoRR, 2023)

Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias. - Zhaoyi Chen; Hansi Zhang; Xi Yang 015; Songzi Wu; Xing He 003; Jie Xu 012; Jingchuan Guo; Mattia Prosperi; Fei Wang 001; Hua Xu 001; Yong Chen 016; Hui Hu; et al. (Int. J. Medical Informatics, 2023)

Predicting the Risk of Alzheimer's Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach. - Zhaoyi Chen; Yuchen Yang; Dazheng Zhang; Jingchuan Guo; Yi Guo 005; Xia Hu 001; Yong Chen 016; Jiang Bian 001 (Informatics, 2023)

Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods. - Jie Xu 012; Xing He 003; Wei Shao; Jiang Bian 001; Russell Terry (Informatics, 2023)

A study of generative large language model for medical research and healthcare. - Cheng Peng 009; Xi Yang 015; Aokun Chen; Kaleb E. Smith; Nima M. Pournejatian; Anthony B. Costa; Cheryl Martin 002; Mona G. Flores; Ying Zhang; Tanja Magoc; Gloria P. Lipori; Duane A. Mitchell; et al. (npj Digit. Medicine, 2023)

Assessing the impact of privacy-preserving record linkage on record overlap and patient demographic and clinical characteristics in PCORnet®, the National Patient-Centered Clinical Research Network. - Keith Marsolo; Daniel Kiernan; Sengwee Toh; Jasmin Phua; Darcy Louzao; Kevin Haynes; Mark G. Weiner; Francisco Angulo; Charles Bailey 001; Jiang Bian 001; Daniel Fort; Shaun J. Grannis; et al. (J. Am. Medical Informatics Assoc., 2023)

Contextualized medication information extraction using Transformer-based deep learning architectures. - Aokun Chen; Zehao Yu 001; Xi Yang 015; Yi Guo 005; Jiang Bian 001; Yonghui Wu (J. Biomed. Informatics, 2023)

Clinical concept and relation extraction using prompt-based machine reading comprehension. - Cheng Peng 009; Xi Yang 015; Zehao Yu 001; Jiang Bian 001; William R. Hogan; Yonghui Wu (J. Am. Medical Informatics Assoc., 2023)

Leveraging natural language processing to identify eligible lung cancer screening patients with the electronic health record. - Siru Liu; Allison B. McCoy; Melinda C. Aldrich; Kim L. Sandler; Thomas J. Reese; Bryan D. Steitz; Jiang Bian 001; Yonghui Wu; Elise M. Russo; Adam Wright (Int. J. Medical Informatics, 2023)

The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records. - Piaopiao Li; Tianchen Lyu; Khalid Alkhuzam; Eliot Spector; William T. Donahoo; Sarah Bost; Yonghui Wu; William R. Hogan; Mattia Prosperi; Desmond A. Schatz; Mark A Atkinson; Michael J. Haller; et al. (J. Am. Medical Informatics Assoc., 2023)

Application of a practice-based approach in variable selection for a prediction model development study of hospital-induced delirium. - Urszula Alina Snigurska; Sarah E. Ser; Laurence M. Solberg; Mattia Prosperi; Tanja Magoc; Zhaoyi Chen; Jiang Bian 001; Ragnhildur I. Bjarnadottir; Robert J. Lucero (BMC Medical Informatics Decis. Mak., 2023)

UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models. - Mengxian Lyu; Cheng Peng 009; Daniel Paredes; Ziyi Chen; Aokun Chen; Jiang Bian 001; Yonghui Wu (BioNLP@ACL, 2024)

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. - Ahmad Idrissi-Yaghir; Amin Dada; Henning Schäfer; Kamyar Arzideh; Giulia Baldini 001; Jan Trienes; Max Hasin; Jeanette Bewersdorff; Cynthia S. Schmidt; Marie Bauer; Kaleb E. Smith; Jiang Bian 001; et al. (LREC/COLING, 2024)

Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing. - Aokun Chen; Daniel Paredes; Zehao Yu 001; Xiwei Lou; Roberta Brunson; Jamie N. Thomas; Kimberly A. Martinez; Robert J. Lucero; Tanja Magoc; Laurence M. Solberg; Urszula Alina Snigurska; Sarah E. Ser; et al. (ICHI, 2024)

Message from the General Chairs; ICHI 2024. - Zhe He 001; Yi Guo 005; Jiang Bian 001 (ICHI, 2024)

Personalized Meal Planning in Inpatient Clinical Dietetics Using Generative Artificial Intelligence: System Description. - Leon Kopitar; Gregor Stiglic; Leon Bedrac; Jiang Bian 001 (ICHI, 2024)

Morphological profiling for drug discovery in the era of deep learning. - Qiaosi Tang; Ranjala Ratnayake; Gustavo de M. Seabra; Zhe Jiang 001; Ruogu Fang; Lina Cui; Yousong Ding; Tamer Kahveci; Jiang Bian 001; Chenglong Li; Hendrik Luesch; Yanjun Li 005 (Briefings Bioinform., 2024)

Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis. - Zhenhao Zhang; Yuxi Liu; Meichen Xiao; Kun Wang; Yu Huang 018; Jiang Bian 001; Ruolin Yang 003; Fuyi Li (Briefings Bioinform., 2024)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. - Tingsong Xiao; Zelin Xu 001; Wenchong He; Jim Su; Yupu Zhang; Raymond Opoku; Ronald L. Ison; Jason Petho; Jiang Bian 001; Patrick James Tighe; Parisa Rashidi; Zhe Jiang 001 (CoRR, 2024)

Me LLaMA: Foundation Large Language Models for Medical Applications. - Qianqian Xie; Qingyu Chen 001; Aokun Chen; Cheng Peng 009; Yan Hu; Fongci Lin; Xueqing Peng; Jimin Huang; Jeffrey Zhang 010; Vipina Kuttichi Keloth; Xingyu Zhou; Huan He; et al. (CoRR, 2024)

Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data. - Aokun Chen; Qian Li 034; Yu Huang 018; Yongqiu Li; Yu-Neng Chuang; Xia Hu 001; Serena Guo; Yonghui Wu; Yi Guo 005; Jiang Bian 001 (CoRR, 2024)

Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure. - Ziyi Chen; Mengyuan Zhang; Mustafa Mohammed Ahmed; Yi Guo 005; Thomas J. George; Jiang Bian 001; Yonghui Wu (CoRR, 2024)

Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning. - Cheng Peng 009; Zehao Yu 001; Kaleb E. Smith; Wei-Hsuan Lo-Ciganic; Jiang Bian 001; Yonghui Wu (CoRR, 2024)

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. - Yiyuan Yang; Ming Jin 005; Haomin Wen; Chaoli Zhang 001; Yuxuan Liang; Lintao Ma; Yi Wang 022; Chenghao Liu; Bin Yang 002; Zenglin Xu; Jiang Bian 001; Shirui Pan; et al. (CoRR, 2024)

Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations. - Rachael L. Fleurence; Jiang Bian 001; Xiaoyan Wang; Hua Xu 001; Dalia Dawoud; Mitch Higashi; Jagpreet Chhatwal (CoRR, 2024)

GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation. - Chengkun Sun; Russell Stevens Terry; Jiang Bian 001; Jie Xu 012 (CoRR, 2024)

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science. - Betina Idnay; Zihan Xu; William G. Adams; Mohammad Adibuzzaman; Nicholas R. Anderson 001; Neil Bahroos; Douglas S. Bell; Cody Bumgardner; Thomas R. Campion Jr.; Victor M. Castro; James J. Cimino; I. Glenn Cohen; et al. (CoRR, 2024)

Generative AI in Health Economics and Outcomes Research: A Taxonomy of Key Definitions and Emerging Applications, an ISPOR Working Group Report. - Rachael L. Fleurence; Xiaoyan Wang; Jiang Bian 001; Mitch Higashi; Turgay Ayer; Hua Xu 001; Dalia Dawoud; Jagpreet Chhatwal (CoRR, 2024)

Identifying and Decomposing Compound Ingredients in Meal Plans Using Large Language Models. - Leon Kopitar; Leon Bedrac; Larissa J. Strath; Jiang Bian 001; Gregor Stiglic (CoRR, 2024)

Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization. - Aokun Chen; Yunpeng Zhao; Yi Zheng; Hui Hu; Xia Hu 001; Jennifer N. Fishe; William R. Hogan; Elizabeth A. Shenkman; Yi Guo 005; Jiang Bian 001 (Informatics, 2024)

Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. - Cheng Peng 009; Xi Yang 015; Aokun Chen; Zehao Yu 001; Kaleb E. Smith; Anthony B. Costa; Mona G. Flores; Jiang Bian 001; Yonghui Wu (J. Am. Medical Informatics Assoc., 2024)

Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints. - Jiayi Tong; Chongliang Luo; Yifei Sun; Rui Duan 004; M. Elle Saine; Lifeng Lin; Yifan Peng 002; Yiwen Lu; Anchita Batra; Anni Pan; Olivia Wang; Ruowang Li; et al. (J. Am. Medical Informatics Assoc., 2024)

Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework. - Jiayi Tong; Yishan Shen; Alice Xu; Xing He 003; Chongliang Luo; Mackenzie J. Edmondson; Dazheng Zhang; Yiwen Lu; Chao Yan 004; Ruowang Li; Lianne Siegel; Lichao Sun 001; et al. (J. Am. Medical Informatics Assoc., 2024)

Call for papers: Special issue on biomedical multimodal large language models - novel approaches and applications. - Jiang Bian 001; Yifan Peng 002; Eneida A. Mendonça; Imon Banerjee; Hua Xu 001; Hong Sun; Ye Ye; Casey Overby Taylor; Anália Maria Garcia Lourenço; Alejandro Rodríguez González; Elena Tutubalina (J. Biomed. Informatics, 2024)

A scoping review of fair machine learning techniques when using real-world data. - Yu Huang 018; Jingchuan Guo; Wei-Han William Chen; Hsin-Yueh Lin; Huilin Tang; Fei Wang 001; Hua Xu 001; Jiang Bian 001 (J. Biomed. Informatics, 2024)

Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. - Cheng Peng 009; Xi Yang 015; Kaleb E. Smith; Zehao Yu 001; Aokun Chen; Jiang Bian 001; Yonghui Wu (J. Biomed. Informatics, 2024)

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias. - Zehao Yu 001; Cheng Peng 009; Xi Yang 015; Chong Dang; Prakash Adekkanattu; Braja Gopal Patra; Yifan Peng 002; Jyotishman Pathak; Debbie L. Wilson; Ching-Yuan Chang; Wei-Hsuan Lo-Ciganic; Thomas J. George; et al. (J. Biomed. Informatics, 2024)

Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs. - Prakash Adekkanattu; Al'ona Furmanchuk; Yonghui Wu; Aman Pathak; Braja Gopal Patra; Sarah Bost; Destinee Morrow; Grace Hsin-Min Wang; Yuyang Yang; Noah James Forrest; Yuan Luo 001; Theresa L. Walunas; et al. (npj Digit. Medicine, 2024)

Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. - Chang Su 002; Yu Hou; Jielin Xu; Zhenxing Xu; Manqi Zhou; Alison Ke; Haoyang Li 001; Jie Xu 012; Matthew Brendel; Jacqueline R. M. A. Maasch; Zilong Bai; Haotan Zhang; et al. (npj Digit. Medicine, 2024)

Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models. - Shuang Yang; Xi Yang 015; Tianchen Lyu; James L. Huang; Aokun Chen; Xing He 003; Dejana Braithwaite; Hiren J. Mehta; Yonghui Wu; Yi Guo 005; Jiang Bian 001 (J. Heal. Informatics Res., 2024)

Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities. - Chengkun Sun; Jinqian Pan; Zhuoli Jin; Russell Stevens Terry; Jiang Bian 001; Jie Xu 012 (AAAI, 2025)

BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models. - Chengkun Sun; Jinqian Pan; Russell Stevens Terry; Jiang Bian 001; Jie Xu 012 (AAAI, 2025)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications. - Tingsong Xiao; Zelin Xu 001; Wenchong He; Zhengkun Xiao; Yupu Zhang; Zibo Liu; Shigang Chen; My T. Thai; Jiang Bian 001; Parisa Rashidi; Zhe Jiang 001 (AAAI, 2025)

Comparative Evaluation of Clinical Large Language Models and Machine Learning to Predict Antimicrobial Resistance in Hospital-Onset Sepsis. - Scott A. Cohen; Ziyi Chen; Jiang Bian 001; Christina Boucher 001; Yonghui Wu; Mattia Prosperi (AIME (1), 2025)

Machine Learning Prediction of Autism Spectrum Disorder Diagnosis Through Linking Mothers' and Children's Electronic Health Records. - Yongqiu Li; Yu Huang 018; Shuang Yang; Elahe M. Shychuk; Elizabeth A. Shenkman; Jiang Bian 001; Amber M. Angell; Yi Guo 005 (ICHI, 2025)

Communication-efficient federated learning of temporal effects on opioid use disorder with data from distributed research networks. - C. Jason Liang; Chongliang Luo; Henry R. Kranzler; Jiang Bian 001; Yong Chen 016 (J. Am. Medical Informatics Assoc., 2025)

Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data. - Hao Dai; Yu Huang 018; Yuxi Liu; Xing He 003; Jingchuan Guo; Mattia Prosperi; Jiang Bian 001 (J. Biomed. Informatics, 2025)

Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies. - Xinyao Jian; Dazheng Zhang; Zehao Yu 001; Hua Xu 001; Jiang Bian 001; Yonghui Wu; Jiayi Tong; Yong Chen 016 (J. Biomed. Informatics, 2025)

GatorCLR: Personalized predictions of patient outcomes on electronic health records using self-supervised contrastive graph representation. - Yuxi Liu; Zhenhao Zhang; Jiacong Mi; Shirui Pan; Tianlong Chen 001; Yi Guo 005; Xing He 003; Jiang Bian 001 (J. Biomed. Informatics, 2025)

Identifying progression subphenotypes of Alzheimer's disease from large-scale electronic health records with machine learning. - Manqi Zhou; Alice S. Tang; Hao Zhang; Zhenxing Xu; Alison M. C. Ke; Chang Su; Yu Huang 018; William G. Mantyh; Michael Jaffee; Katherine P. Rankin; Steven DeKosky; Jiayu Zhou; et al. (J. Biomed. Informatics, 2025)

A natural language processing-based approach for early detection of heart failure onset using electronic health records. - Yuxi Liu; Zhen Tan 001; Zhenhao Zhang; Song Wang 013; Jingchuan Guo; Huan Liu 001; Tianlong Chen 001; Jiang Bian 001 (Knowl. Based Syst., 2025)

Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm. - Jiayi Tong; Jenna Marie Reps; Chongliang Luo; Yiwen Lu; Lu Li; Juan Manuel Ramirez-Anguita; Milou T. Brand; Scott L. DuVall; Thomas Falconer; Alex Mayer Fuentes; Xing He 003; Michael E. Matheny; et al. (npj Digit. Medicine, 2025)

COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data. - Qiong Wu; Jenna Marie Reps; Lu Li; Bingyu Zhang; Yiwen Lu; Jiayi Tong; Dazheng Zhang; Thomas Lumley; Milou T. Brand; Mui Van Zandt; Thomas Falconer; Xing He 003; et al. (npj Digit. Medicine, 2025)

Medical foundation large language models for comprehensive text analysis and beyond. - Qianqian Xie; Qingyu Chen 001; Aokun Chen; Cheng Peng 009; Yan Hu; Fongci Lin; Xueqing Peng; Jimin Huang; Jeffrey Zhang 010; Vipina Kuttichi Keloth; Xinyu Zhou; Lingfei Qian; et al. (npj Digit. Medicine, 2025)

The ELEVATE-AI LLMs Framework: An Evaluation Framework for Use of Large Language Models in HEOR: an ISPOR Working Group Report. - Rachael L. Fleurence; Dalia Dawoud; Jiang Bian 001; Mitch Higashi; Xiaoyan Wang; Hua Xu 001; Jagpreet Chhatwal; Turgay Ayer (CoRR, 2025)

A Topic Modeling Analysis of Stigma Dimensions, Social, and Related Behavioral Circumstances in Clinical Notes Among Patients with HIV. - Ziyi Chen; Yiyang Liu; Mattia Prosperi; Krishna Vaddiparti; Robert L. Cook 002; Jiang Bian 001; Yi Guo 005; Yonghui Wu (CoRR, 2025)

A Brief Review on Benchmarking for Large Language Models Evaluation in Healthcare. - Leona Cilar Budler; Hongyu Chen; Aokun Chen; Maxim Topaz; Wilson Tam; Jiang Bian 001; Gregor Stiglic (WIREs Data. Mining. Knowl. Discov., 2025)

Time-RA: Towards Time Series Reasoning for Anomaly with LLM Feedback. - Yiyuan Yang; Zichuan Liu; Lei Song; Kai Ying; Zhiguang Wang; Tom Bamford; Svitlana Vyetrenko; Jiang Bian 001; Qingsong Wen (CoRR, 2025)