Jiang Bian

ORCID

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 167

Top Venues

CoRR

AMIA

J. Am. Medical Informatics Assoc.

BMC Medical Informatics Decis. Mak.

Publications

Zhaoyi Chen, Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu, Jingchuan Guo, Mattia C. F. Prosperi, Fei Wang, Hua Xu, Yong Chen, Hui Hu, Steven DeKosky, Matthew Farrer, Yi Guo, Yonghui Wu, Jiang Bian
Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias. Int. J. Medical Informatics 170 (2023)
Shubo Tian, Pengfei Yin, Hansi Zhang, Arslan Erdengasileng, Jiang Bian, Zhe He
Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model. BIBM (2023)
Aokun Chen, Qian Li, Elizabeth Shenkman, Yonghui Wu, Yi Guo, Jiang Bian
Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients. ICHI (2023)
Siru Liu, Allison B. McCoy, Melinda C. Aldrich, Kim L. Sandler, Thomas J. Reese, Bryan D. Steitz, Jiang Bian, Yonghui Wu, Elise M. Russo, Adam Wright
Leveraging natural language processing to identify eligible lung cancer screening patients with the electronic health record. Int. J. Medical Informatics 177 (2023)
Yu Huang, Jingchuan Guo, William T. Donahoo, Zhengkang Fan, Ying Lu, Wei-Han William Chen, Huilin Tang, Lori Bilello, Elizabeth A. Shenkman, Jiang Bian
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D). CoRR (2023)
Inyoung Jun, Scott A. Cohen, Sarah E. Ser, Simone Marini, Robert J. Lucero, Jiang Bian, Mattia Prosperi
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. CDPD (2023)
Jie Xu, Xing He, Wei Shao, Jiang Bian, Russell Terry
Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods. Informatics 10 (3) (2023)
Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
A Study of Generative Large Language Model for Medical Research and Healthcare. CoRR (2023)
Jan Egger, Christina Gsaxner, Xiaojun Chen, Jiang Bian, Jens Kleesiek, Behrus Puladi
Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision. CoRR (2023)
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, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Hui Shao
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records. J. Am. Medical Informatics Assoc. 31 (1) (2023)
Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu
Contextualized medication information extraction using Transformer-based deep learning architectures. J. Biomed. Informatics 142 (2023)
Inyoung Jun, Sarah E. S. Leary, Jie Xu, Jiang Bian, Mattia Prosperi
Quantification of Racial Disparity on Urinary Tract Infection Recurrence and Treatment Resistance in Florida using Algorithmic Fairness Methods. ICHI (2023)
Keith Marsolo, Daniel Kiernan, Sengwee Toh, Jasmin Phua, Darcy Louzao, Kevin Haynes, Mark G. Weiner, Francisco Angulo, Charles Bailey, Jiang Bian, Daniel Fort, Shaun J. Grannis, Ashok Kumar Krishnamurthy, Vinit Nair, Pedro Rivera, Jonathan C. Silverstein, Maryan Zirkle, Thomas Carton
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. J. Am. Medical Informatics Assoc. 30 (3) (2023)
Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia C. F. Prosperi
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data. CoRR (2023)
Qizhang Feng, Zhimeng Stephen Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu
Fair Graph Distillation. NeurIPS (2023)
Zheng Feng, Zhaoyi Chen, Yi Guo, Mattia Prosperi, Hiren J. Mehta, Dejana Braithwaite, Yonghui Wu, Jiang Bian
Real-World Effectiveness of Lung Cancer Screening Using Deep Learning-Based Counterfactual Prediction. MedInfo (2023)
Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu
Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures. CoRR (2023)
Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction. CoRR (2023)
Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu
Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension. CoRR (2023)
Zhaoyi Chen, Yuchen Yang, Dazheng Zhang, Jingchuan Guo, Yi Guo, Xia Hu, Yong Chen, Jiang Bian
Predicting the Risk of Alzheimer's Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach. Informatics 10 (2) (2023)
Aokun Chen, Daniel Paredes, Zehao Yu, Xiwei Lou, Roberta Brunson, Jamie N. Thomas, Kimberly A. Martinez, Robert J. Lucero, Tanja Magoc, Laurence M. Solberg, Urszula Alina Snigurska, Sarah E. Ser, Mattia C. F. Prosperi, Jiang Bian, Ragnhildur I. Bjarnadottir, Yonghui Wu
Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing. CoRR (2023)
Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu
Clinical concept and relation extraction using prompt-based machine reading comprehension. J. Am. Medical Informatics Assoc. 30 (9) (2023)
Urszula Alina Snigurska, Sarah E. Ser, Laurence M. Solberg, Mattia Prosperi, Tanja Magoc, Zhaoyi Chen, Jiang Bian, Ragnhildur I. Bjarnadottir, Robert J. Lucero
Application of a practice-based approach in variable selection for a prediction model development study of hospital-induced delirium. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu
Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need. CoRR (2023)
Tiancheng Zhou, Zachary Glanz, Mei Liu, Jiang Bian, Rui Yin, Hongyang Gao
HSELDA: Heterogeneous Sub-Graph Learning for lncRNA-Disease Associations Prediction. BIBM (2023)
Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare. KDD (2023)
Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. CoRR (2023)
Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima M. Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
A study of generative large language model for medical research and healthcare. npj Digit. Medicine 6 (2023)
William R. Hogan, Elizabeth A. Shenkman, Temple Robinson, Olveen Carasquillo, Patricia S. Robinson, Rebecca Z. Essner, Jiang Bian, Gigi Lipori, Christopher A. Harle, Tanja Magoc, Lizabeth Manini, Tona Mendoza, Sonya White, Alex Loiacono, Jackie Hall, Dave Nelson
The OneFlorida Data Trust: a centralized, translational research data infrastructure of statewide scope. J. Am. Medical Informatics Assoc. 29 (4) (2022)
Xi Yang, Aokun Chen, Nima M. Pournejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B. Costa, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu
A large language model for electronic health records. npj Digit. Medicine 5 (2022)
Aokun Chen, Qian Li, Xing He, Michael Jaffee, William R. Hogan, Fei Wang, Yi Guo, Jiang Bian
Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials. AMIA (2022)
Yunpeng Zhao, Xing He, Zheng Feng, Sarah Bost, Mattia C. F. Prosperi, Yonghui Wu, Yi Guo, Jiang Bian
Biases in using social media data for public health surveillance: A scoping review. Int. J. Medical Informatics 164 (2022)
Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia C. F. Prosperi
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation. AMIA (2022)
Zhe He, Shubo Tian, Arslan Erdengasileng, Neil Charness, Jiang Bian
Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records. CoRR (2022)
Mark A. Musen, Jiang Bian, Bruce Chorpita, Vimla Patel, Cui Tao
Ontologies in the Behavioral Sciences: Accelerating Research and the Accessibility and Use of Knowledge. AMIA (2022)
Hansi Zhang, Tianchen Lyu, Pengfei Yin, Sarah Bost, Xing He, Yi Guo, Mattia C. F. Prosperi, Willian R. Hogan, Jiang Bian
A scoping review of semantic integration of health data and information. Int. J. Medical Informatics 165 (2022)
Mattia C. F. Prosperi, Christina Boucher, Jiang Bian, Simone Marini
Assessing putative bias in prediction of anti-microbial resistance from real-world genotyping data under explicit causal assumptions. Artif. Intell. Medicine 130 (2022)
Xi Yang, Nima M. Pournejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu
GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records. CoRR (2022)
Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. KDD (2022)
Esha Singh, Anusha Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang
A conversational agent system for dietary supplements use. BMC Medical Informatics Decis. Mak. (1) (2022)
Mackenzie J. Edmondson, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Zhaoyi Chen, Jiang Bian, Yong Chen
Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks. J. Biomed. Informatics 131 (2022)
Inyoung Jun, Simone Marini, Christina Boucher, J. Glenn Morris, Jiang Bian, Mattia C. F. Prosperi
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. CoRR (2022)
Mattia C. F. Prosperi, Jie Xu, Jingchuan Serena Guo, Jiang Bian, Wei-Han William Chen, Shantrel Canidate, Simone Marini, Mo Wang
Identification of Social and Racial Disparities in Risk of HIV Infection in Florida using Causal AI Methods. BIBM (2022)
Zheng Feng, Mattia C. F. Prosperi, Jiang Bian
Variational Temporal Deconfounder for Individualized Treatment Effect Estimation from Longitudinal Observational Data. CoRR (2022)
Zehao Yu, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies. CoRR (2022)
Esha Singh, Anusha Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang
A Conversational Agent System for Dietary Supplements Use. CoRR (2021)
Jie Xu, Benjamin S. Glicksberg, Chang Su, Peter B. Walker, Jiang Bian, Fei Wang
Federated Learning for Healthcare Informatics. J. Heal. Informatics Res. 5 (1) (2021)
Yefeng Wang, Yunpeng Zhao, Jiang Bian, Rui Zhang
Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter. CoRR (2021)
Qian Li, Hansi Zhang, Zhaoyi Chen, Yi Guo, Thomas J. George, Yong Chen, Fei Wang, Jiang Bian
Validation of Real-World Data-based Endpoint Measures of Cancer Treatment Outcomes. AMIA (2021)
Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models. CoRR (2021)
Shantanu Ghosh, Jiang Bian, Yi Guo, Mattia C. F. Prosperi
Deep propensity network using a sparse autoencoder for estimation of treatment effects. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Mattia C. F. Prosperi, Shantanu Ghosh, Zhaoyi Chen, Marco Salemi, Tianchen Lyu, Jinying Zhao, Jiang Bian
Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset? ICMHI (2021)
Yi Guo, Yahan Zhang, Tianchen Lyu, Mattia C. F. Prosperi, Fei Wang, Hua Xu, Jiang Bian
The application of artificial intelligence and data integration in COVID-19 studies: a scoping review. J. Am. Medical Informatics Assoc. 28 (9) (2021)
Zhaoyi Chen, Xiong Liu, William R. Hogan, Elizabeth Shenkman, Jiang Bian
Applications of artificial intelligence in drug development using real-world data. CoRR (2021)
Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J. George, Mattia C. F. Prosperi, William R. Hogan, Zhe He, Elizabeth A. Shenkman, Fei Wang, Jiang Bian
Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease. npj Digit. Medicine 4 (2021)
Shubo Tian, Arslan Erdengasileng, Xi Yang, Yi Guo, Yonghui Wu, Jinfeng Zhang, Jiang Bian, Zhe He
Transformer-based named entity recognition for parsing clinical trial eligibility criteria. BCB (2021)
Ruipeng Zhang, Mengjun Xie, Jiang Bian
ReLF: Scalable Remote Live Forensics for Android. TrustCom (2021)
Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models. AMIA (2021)
Xi Yang, Zehao Yu, Yi Guo, Jiang Bian, Yonghui Wu
Clinical Relation Extraction Using Transformer-based Models. CoRR (2021)
Mattia C. F. Prosperi, Yi Guo, Jiang Bian
Bagged random causal networks for interventional queries on observational biomedical datasets. J. Biomed. Informatics 115 (2021)
Hansi Zhang, Xi Yang, Thomas J. George, William R. Hogan, Jiang Bian, Yonghui Wu
Developing an Ontology for Social and Behavioral Determinants of Health. AMIA (2021)
Juan Antonio Lossio-Ventura, Sergio Gonzales, Juandiego Morzan, Hugo Alatrista-Salas, Tina Hernandez-Boussard, Jiang Bian
Evaluation of clustering and topic modeling methods over health-related tweets and emails. Artif. Intell. Medicine 117 (2021)
Yunpeng Zhao, Pengfei Yin, Yongqiu Li, Xing He, Jingcheng Du, Cui Tao, Yi Guo, Mattia C. F. Prosperi, Pierangelo Veltri, Xi Yang, Yonghui Wu, Jiang Bian
Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets. AMIA (2021)
Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. CoRR (2021)
Braja Gopal Patra, Mohit M. 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, Yonghui Wu, Xi Yang, Jiang Bian, Myrna Weissman, Priya Wickramaratne, J. John Mann, Mark Olfson, Thomas R. Campion Jr., Mark G. Weiner, Jyotishman Pathak
Extracting social determinants of health from electronic health records using natural language processing: a systematic review. J. Am. Medical Informatics Assoc. 28 (12) (2021)
Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. KDD (2021)
Mattia C. F. Prosperi, Simone Marini, Christina Boucher, Jiang Bian
Assessing putative bias in prediction of anti-microbial resistance from real-world genotyping data under explicit causal assumptions. CoRR (2021)
Inyoung Jun, Shannan N. Rich, Zhaoyi Chen, Jiang Bian, Mattia C. F. Prosperi
bacteremia infections. Int. J. Medical Informatics 153 (2021)
Seyedeh Neelufar Payrovnaziri, Zhaoyi Chen, Pablo Rengifo-Moreno, Tim Miller, Jiang Bian, Jonathan H. Chen, Xiuwen Liu, Zhe He
Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review. J. Am. Medical Informatics Assoc. 27 (7) (2020)
Xing He, Rui Zhang, Jordan Alpert, Sicheng Zhou, Terrence J. Adam, Aantaki Raisa, Yifan Peng, Hansi Zhang, Jiang Bian
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information? CoRR (2020)
Xi Yang, Jiang Bian, Ruogu Fang, Ragnhildur I. Bjarnadottir, William R. Hogan, Yonghui Wu
Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting. J. Am. Medical Informatics Assoc. 27 (1) (2020)
Xi Yang, Hanyuan Yang, Tianchen Lyu, Shuang Yang, Yi Guo, Jiang Bian, Hua Xu, Yonghui Wu
A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives. ICHI (2020)
Zhe He, Cui Tao, Jiang Bian, Rui Zhang
Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019). BMC Medical Informatics Decis. Mak. (4) (2020)
Hansi Zhang, Christopher Wheldon, Adam G. Dunn, Cui Tao, Jinhai Huo, Rui Zhang, Mattia C. F. Prosperi, Yi Guo, Jiang Bian
Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States. J. Am. Medical Informatics Assoc. 27 (2) (2020)
Yi Guo, Jiang Bian, François Modave, Qian Li, Thomas J. George, Mattia C. F. Prosperi, Elizabeth Shenkman
Assessing the effect of data integration on predictive ability of cancer survival models. Health Informatics J. 26 (1) (2020)
Hwayoung Cho, Karen Dunn Lopez, Yingwei Yao, Ragnhildur I. Bjarnadottir, Jiang Bian, Diana J. Wilkie, Gail M. Keenan
Assessment of Clinical Decision Support (CDS) formats for Supporting Nurses' Palliative Care Planning Decisions. AMIA (2020)
Jiayi Tong, Zhaoyi Chen, Rui Duan, Wei-Hsuan Lo-Ciganic, Tianchen Lyu, Cui Tao, Peter A. Merkel, Henry R. Kranzler, Jiang Bian, Yong Chen
Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network. AMIA (2020)
Yefeng Wang, Yunpeng Zhao, Jianqiu Zhang, Jiang Bian, Rui Zhang
Detecting associations between dietary supplement intake and sentiments within mental disorder tweets. Health Informatics J. 26 (2) (2020)
Xing He, Hansi Zhang, Jiang Bian
User-centered design of a web-based crowdsourcing-integrated semantic text annotation tool for building a mental health knowledge base. J. Biomed. Informatics 110 (2020)
Yi Guo, Xing He, Tianchen Lyu, Hansi Zhang, Yonghui Wu, Xi Yang, Zhaoyi Chen, Merry J. Markham, François Modave, Mengjun Xie, William R. Hogan, Christopher A. Harle, Elizabeth Shenkman, Jiang Bian
Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups. AMIA (2020)
Qian Li, Yi Guo, Zhe He, Hansi Zhang, Thomas J. George, Jiang Bian
Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria: a case study on Alzheimer's Disease and Donepezil. AMIA (2020)
Hansi Zhang, Yi Guo, Mattia C. F. Prosperi, Jiang Bian
An ontology-based documentation of data discovery and integration process in cancer outcomes research. BMC Medical Informatics Decis. Mak. (4) (2020)
Rui Duan, Chongliang Luo, Martijn J. Schuemie, Jiayi Tong, C. Jason Liang, Howard H. Chang, Mary Regina Boland, Jiang Bian, Hua Xu, John H. Holmes, Christopher B. Forrest, Sally C. Morton, Jesse A. Berlin, Jason H. Moore, Kevin B. Mahoney, Yong Chen
Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. J. Am. Medical Informatics Assoc. 27 (7) (2020)
Jiang Bian, Yaoyun Zhang, Cui Tao
Exploring the semantics in mental health research. Health Informatics J. 26 (2) (2020)
Mattia C. F. Prosperi, Jiang Bian, Mo Wang
Multivariate Independence Set Search via Progressive Addition for Conditional Markov Acyclic Networks. BIBM (2020)
Rubina F. Rizvi, Jake Vasilakes, Terrence J. Adam, Genevieve B. Melton, Jeffrey R. Bishop, Jiang Bian, Cui Tao, Rui Zhang
iDISK: the integrated DIetary Supplements Knowledge base. J. Am. Medical Informatics Assoc. 27 (4) (2020)
Jiang Bian, François Modave
The rapid growth of intelligent systems in health and health care. Health Informatics J. 26 (1) (2020)
Rui Duan, Zhaoyi Chen, Jiayi Tong, Chongliang Luo, Tianchen Lyu, Cui Tao, Demetrius Maraganore, Jiang Bian, Yong Chen
Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD). AMIA (2020)
Xi Yang, Jiang Bian, William R. Hogan, Yonghui Wu
Clinical concept extraction using transformers. J. Am. Medical Informatics Assoc. 27 (12) (2020)
Yunpeng Zhao, Mattia C. F. Prosperi, Tianchen Lyu, Yi Guo, Jiang Bian
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets. CoRR (2020)
Yunpeng Zhao, Yi Guo, Xing He, Yonghui Wu, Xi Yang, Mattia C. F. Prosperi, Yanghua Jin, Jiang Bian
Assessing mental health signals among sexual and gender minorities using Twitter data. Health Informatics J. 26 (2) (2020)
Yunpeng Zhao, Mattia C. F. Prosperi, Tianchen Lyu, Yi Guo, Le Zhou, Jiang Bian
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets. IEA/AIE (2020)
Yue Zhao, Kenji Yoshigoe, Mengjun Xie, Jiang Bian, Ke Xiong
L-PowerGraph: a lightweight distributed graph-parallel communication mechanism. J. Supercomput. 76 (3) (2020)
Jiang Bian, Tianchen Lyu, Alexander Loiacono, Tonatiuh Mendoza Viramontes, Gloria P. Lipori, Yi Guo, Yonghui Wu, Mattia C. F. Prosperi, Thomas J. George, Christopher A. Harle, Elizabeth A. Shenkman, William R. Hogan
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. J. Am. Medical Informatics Assoc. 27 (12) (2020)
Mattia C. F. Prosperi, Yi Guo, Matthew Sperrin, James S. Koopman, Jae S. Min, Xing He, Shannan N. Rich, Mo Wang, Iain E. Buchan, Jiang Bian
Causal inference and counterfactual prediction in machine learning for actionable healthcare. Nat. Mach. Intell. 2 (7) (2020)
Xiao Dong, Jianfu Li, Ekin Soysal, Jiang Bian, Scott L. DuVall, Elizabeth Hanchrow, Hongfang Liu, Kristine E. Lynch, Michael E. Matheny, Karthik Natarajan, Lucila Ohno-Machado, Serguei Pakhomov, Ruth Madeleine Reeves, Amy M. Sitapati, Swapna Abhyankar, Theresa Cullen, Jami Deckard, Xiaoqian Jiang, Robert Murphy, Hua Xu
COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes. J. Am. Medical Informatics Assoc. 27 (9) (2020)
Tamara Goncalves Rezende Macieira, Tania C. M. Chianca, Madison B. Smith, Yingwei Yao, Jiang Bian, Diana J. Wilkie, Karen Dunn Lopez, Gail M. Keenan
Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review. J. Am. Medical Informatics Assoc. 26 (11) (2019)
Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia C. F. Prosperi, Jinhai Huo, Jordan Alpert, Jiang Bian
ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design. BMC Medical Informatics Decis. Mak. (4) (2019)
Xi Yang, Tianchen Lyu, Chih-Yin Lee, Jiang Bian, William R. Hogan, Yonghui Wu
A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings. ICHI (2019)
Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang
Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements. CoRR (2019)

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Publication Activity (10 Years)

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Jiang Bian