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ORCIDJiang Bian 0001
Person information
- affiliation: University of Florida, Department of Health Outcomes and Biomedical Informatics, Gainesville, FL, USA
- affiliation (former): University of Arkansas for Medical Sciences, Division of Biomedical Informatics, Little Rock, AR, USA
Other persons with the same name
- Jiang Bian — disambiguation page
- Jiang Bian 0002
![[0000-0002-9472-600X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9472-600X")
— Microsoft Research Asia, Beijing, China (and 2 more) - Jiang Bian 0003 — Baidu Research, Big Data Laboratory, Beijing, China (and 1 more)
- Jiang Bian 0004 — Chinese Academy of Sciences, Institute of Automation, State Key Laboratory for Management and Control of Complex Systems, Beijing, China
- Jiang Bian 0005 — Northwest A&F University, Yangling, China
- Jiang Bian 0006 — University of Technology Sydney, Australia
- Jiang Bian 0007 — University of Hong Kong, Pokfulam, Hong Kong
- Jiang Bian 0008 — Shanghai Jiaotong University, Department of Computer Science and Engineering, China
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Journal Articles
- 2024
[j81]Qiaosi Tang, Ranjala Ratnayake, Gustavo de M. Seabra, Zhe Jiang, Ruogu Fang, Lina Cui, Yousong Ding, Tamer Kahveci, Jiang Bian, Chenglong Li, Hendrik Luesch, Yanjun Li:
Morphological profiling for drug discovery in the era of deep learning. Briefings Bioinform. 25(4) (2024)- [j80]Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian:
Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization. Informatics 11: 4 (2024) - [j79]Jiayi Tong, Chongliang Luo, Yifei Sun, Rui Duan, M. Elle Saine, Lifeng Lin, Yifan Peng, Yiwen Lu, Anchita Batra, Anni Pan, Olivia Wang, Ruowang Li, Arielle Marks-Anglin, Yuchen Yang, Xu Zuo, Yulun Liu, Jiang Bian, Stephen E. Kimmel, Keith Hamilton, Adam Cuker, Rebecca A. Hubbard, Hua Xu, Yong Chen:
Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints. J. Am. Medical Informatics Assoc. 31(4): 809-819 (2024) - [j78]Jiayi Tong, Yishan Shen, Alice Xu, Xing He, Chongliang Luo, Mackenzie J. Edmondson, Dazheng Zhang, Yiwen Lu, Chao Yan, Ruowang Li, Lianne Siegel, Lichao Sun, Elizabeth A. Shenkman, Sally C. Morton, Bradley A. Malin, Jiang Bian, David A. Asch, Yong Chen:
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework. J. Am. Medical Informatics Assoc. 31(6): 1303-1312 (2024) - [j77]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. J. Am. Medical Informatics Assoc. 31(9): 1892-1903 (2024) - [j76]Yu Huang, Jingchuan Guo, Wei-Han William Chen, Hsin-Yueh Lin, Huilin Tang, Fei Wang, Hua Xu, Jiang Bian:
A scoping review of fair machine learning techniques when using real-world data. J. Biomed. Informatics 151: 104622 (2024) - [j75]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. J. Biomed. Informatics 153: 104630 (2024) - [j74]Zehao Yu, Cheng Peng, 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:
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias. J. Biomed. Informatics 153: 104642 (2024) - [j73]Jiang Bian, Yifan Peng, Eneida A. Mendonça, Imon Banerjee, Hua Xu, Hong Sun, Ye Ye, Casey Overby Taylor, Anália Maria Garcia Lourenço, Alejandro Rodríguez González, Elena Tutubalina:
Call for papers: Special issue on biomedical multimodal large language models - novel approaches and applications. J. Biomed. Informatics 157: 104703 (2024) - [j72]Shuang Yang, Xi Yang, Tianchen Lyu, James L. Huang, Aokun Chen, Xing He, Dejana Braithwaite, Hiren J. Mehta, Yonghui Wu, Yi Guo, Jiang Bian:
Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models. J. Heal. Informatics Res. 8(3): 463-477 (2024) - [j71]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, Theresa L. Walunas, Wei-Hsuan Lo-Ciganic, Walid Gelad, Jiang Bian, Yuhua Bao, Mark G. Weiner, David W. Oslin, Jyotishman Pathak:
Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs. npj Digit. Medicine 7(1) (2024) - [j70]Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang:
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. npj Digit. Medicine 7(1) (2024) - 2023
- [j69]Zhaoyi Chen, Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu, Jingchuan Guo, Mattia 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: 104973 (2023) - [j68]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: 105136 (2023) - [j67]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): 46 (2023) - [j66]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): 55 (2023) - [j65]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): 447-455 (2023) - [j64]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): 1486-1493 (2023) - [j63]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): 165-173 (2023) - [j62]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: 104370 (2023) - [j61]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): 181 (2023) - [j60]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) - 2022
- [j59]Mattia 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: 102326 (2022) - [j58]Yunpeng Zhao, Xing He, Zheng Feng, Sarah Bost, Mattia 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: 104804 (2022) - [j57]Hansi Zhang, Tianchen Lyu, Pengfei Yin, Sarah Bost, Xing He, Yi Guo, Mattia Prosperi, William R. Hogan, Jiang Bian:
A scoping review of semantic integration of health data and information. Int. J. Medical Informatics 165: 104834 (2022) - [j56]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): 686-693 (2022) - [j55]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: 104097 (2022) - [j54]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. 22-S(1): 153 (2022) - [j53]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) - 2021
- [j52]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: 102096 (2021) - [j51]Inyoung Jun, Shannan N. Rich, Zhaoyi Chen, Jiang Bian, Mattia Prosperi:
Challenges in replicating secondary analysis of electronic health records data with multiple computable phenotypes: A case study on methicillin-resistant Staphylococcus aureus bacteremia infections. Int. J. Medical Informatics 153: 104531 (2021) - [j50]Shantanu Ghosh, Jiang Bian, Yi Guo, Mattia Prosperi:
Deep propensity network using a sparse autoencoder for estimation of treatment effects. J. Am. Medical Informatics Assoc. 28(6): 1197-1206 (2021) - [j49]Yi Guo, Yahan Zhang, Tianchen Lyu, Mattia 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): 2050-2067 (2021) - [j48]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): 2716-2727 (2021) - [j47]Mattia Prosperi, Yi Guo, Jiang Bian:
Bagged random causal networks for interventional queries on observational biomedical datasets. J. Biomed. Informatics 115: 103689 (2021) - [j46]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): 1-19 (2021) - [j45]Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J. George, Mattia 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) - 2020
- [j44]Jiang Bian, François Modave:
The rapid growth of intelligent systems in health and health care. Health Informatics J. 26(1) (2020) - [j43]Yi Guo, Jiang Bian, François Modave, Qian Li, Thomas J. George, Mattia Prosperi, Elizabeth Shenkman:
Assessing the effect of data integration on predictive ability of cancer survival models. Health Informatics J. 26(1) (2020) - [j42]Jiang Bian, Yaoyun Zhang, Cui Tao:
Exploring the semantics in mental health research. Health Informatics J. 26(2): 723-725 (2020) - [j41]Yunpeng Zhao, Yi Guo, Xing He, Yonghui Wu, Xi Yang, Mattia Prosperi, Yanghua Jin, Jiang Bian:
Assessing mental health signals among sexual and gender minorities using Twitter data. Health Informatics J. 26(2): 765-786 (2020) - [j40]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): 803-815 (2020) - [j39]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): 65-72 (2020) - [j38]Hansi Zhang, Christopher Wheldon, Adam G. Dunn, Cui Tao, Jinhai Huo, Rui Zhang, Mattia 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): 225-235 (2020) - [j37]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): 539-548 (2020) - [j36]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): 1028-1036 (2020) - [j35]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): 1173-1185 (2020) - [j34]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): 1437-1442 (2020) - [j33]Xi Yang, Jiang Bian, William R. Hogan, Yonghui Wu:
Clinical concept extraction using transformers. J. Am. Medical Informatics Assoc. 27(12): 1935-1942 (2020) - [j32]Jiang Bian, Tianchen Lyu, Alexander T. Loiacono, Tonatiuh Mendoza Viramontes, Gloria P. Lipori, Yi Guo, Yonghui Wu, Mattia 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): 1999-2010 (2020) - [j31]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: 103571 (2020) - [j30]Hansi Zhang, Yi Guo, Mattia Prosperi, Jiang Bian:
An ontology-based documentation of data discovery and integration process in cancer outcomes research. BMC Medical Informatics Decis. Mak. 20-S(4): 292 (2020) - [j29]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. 20-S(4): 315 (2020) - [j28]Mattia 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): 369-375 (2020) - [j27]Yue Zhao, Kenji Yoshigoe, Mengjun Xie, Jiang Bian, Ke Xiong:
L-PowerGraph: a lightweight distributed graph-parallel communication mechanism. J. Supercomput. 76(3): 1850-1879 (2020) - 2019
- [j26]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): 1401-1411 (2019) - [j25]Zhe He, Jiang Bian, Cui Tao, Rui Zhang:
Selected articles from the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018). BMC Medical Informatics Decis. Mak. 19-S(4): 148:1-148:3 (2019) - [j24]Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia 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. 19-S(4): 150:1-150:18 (2019) - [j23]Xi Yang, Tianchen Lyu, Qian Li, Chih-Yin Lee, Jiang Bian, William R. Hogan, Yonghui Wu:
A study of deep learning methods for de-identification of clinical notes in cross-institute settings. BMC Medical Informatics Decis. Mak. 19-S(5): 6 (2019) - [j22]Mattia Prosperi, Jiang Bian:
Is it time to rethink institutional review boards for the era of big data? Nat. Mach. Intell. 1(6): 260 (2019) - [j21]Jingcheng Du, Rachel Cunningham, Yang Xiang, Fang Li, Yuxi Jia, Julie A. Boom, Sahiti Myneni, Jiang Bian, Chongliang Luo, Yong Chen, Cui Tao:
Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media. npj Digit. Medicine 2 (2019) - 2018
- [j20]You Chen, Abel N. Kho, David M. Liebovitz, Catherine Ivory, Sarah Osmundson, Jiang Bian, Bradley A. Malin:
Learning bundled care opportunities from electronic medical records. J. Biomed. Informatics 77: 1-10 (2018) - [j19]Muhammad Amith, Zhe He, Jiang Bian, Juan Antonio Lossio-Ventura, Cui Tao:
Assessing the practice of biomedical ontology evaluation: Gaps and opportunities. J. Biomed. Informatics 80: 1-13 (2018) - [j18]Juan Antonio Lossio-Ventura, Jiang Bian, Clément Jonquet, Mathieu Roche, Maguelonne Teisseire:
A novel framework for biomedical entity sense induction. J. Biomed. Informatics 84: 31-41 (2018) - [j17]Zhaoyi Chen, Victoria Y. Bird, Rupam Ruchi, Mark S. Segal, Jiang Bian, Saeed R. Khan, Marie-Carmelle Elie, Mattia Prosperi:
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). BMC Medical Informatics Decis. Mak. 18(1): 72:1-72:14 (2018) - [j16]Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian:
Correction to: Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. BMC Medical Informatics Decis. Mak. 18(1): 73:1 (2018) - [j15]Mattia Prosperi, Jae Min, Jiang Bian, François Modave:
Big data hurdles in precision medicine and precision public health. BMC Medical Informatics Decis. Mak. 18(1): 139:1-139:15 (2018) - [j14]Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian:
Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. BMC Medical Informatics Decis. Mak. 18(S-2): 53-68 (2018) - [j13]Zhe He, Cui Tao, Jiang Bian, Rui Zhang, Jingshan Huang:
Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017). BMC Medical Informatics Decis. Mak. 18(S-2): 56:1-56:4 (2018) - [j12]Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Yi Guo, Zhe He, Xi Yang, Hansi Zhang, Jiang Bian:
OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system. BMC Medical Informatics Decis. Mak. 18(S-2): 115-127 (2018) - [j11]Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth Shenkman, François Modave, Jiang Bian:
An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival. BMC Medical Informatics Decis. Mak. 18(S-2): 129-147 (2018) - 2017
- [j10]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, Michael J. Becich, Reuben J. Applegate, Elmer V. Bernstam, Russell Rothman, Michael E. Matheny, Gloria P. Lipori, Jiang Bian, William R. Hogan, Douglas S. Bell, Andrew Martin, Shaun J. Grannis, Jeffrey G. Klann, Rebecca Sutphen, Amy O'hara, Abel N. Kho:
The Building Blocks of Inter-operability. Appl. Clin. Inform. 08(02): 322-336 (2017) - [j9]Jiawei Yuan, Bradley A. Malin, François Modave, Yi Guo, William R. Hogan, Elizabeth Shenkman, Jiang Bian:
Towards a privacy preserving cohort discovery framework for clinical research networks. J. Biomed. Informatics 66: 42-51 (2017) - [j8]Zhe He, Zhiwei Chen, Sanghee Oh, Jinghui Hou, Jiang Bian:
Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach. J. Biomed. Informatics 69: 75-85 (2017) - 2016
- [j7]Franco Milicchio, Rebecca Rose, Jiang Bian, Jae Min, Mattia Prosperi:
Visual programming for next-generation sequencing data analytics. BioData Min. 9: 16 (2016) - [j6]Josh Hanna, Jiang Bian, William R. Hogan:
An accurate and precise representation of drug ingredients. J. Biomed. Semant. 7: 7 (2016) - [j5]Yue Zhao, Kenji Yoshigoe, Jiang Bian, Mengjun Xie, Zhe Xue, Yong Feng:
A Distributed Graph-Parallel Computing System with Lightweight Communication Overhead. IEEE Trans. Big Data 2(3): 204-218 (2016) - 2014
- [j4]Jiang Bian, Mengjun Xie, Umit Topaloglu, Teresa Hudson, Hari Eswaran, William R. Hogan:
Social network analysis of biomedical research collaboration networks in a CTSA institution. J. Biomed. Informatics 52: 130-140 (2014) - [j3]Yue Zhao, Kenji Yoshigoe, Mengjun Xie, Suijian Zhou, Remzi Seker, Jiang Bian:
Evaluation and Analysis of Distributed Graph-Parallel Processing Frameworks. J. Cyber Secur. Mobil. 3(3): 289-316 (2014) - 2013
- [j2]Jiang Bian, Remzi Seker:
The Jigsaw secure distributed file system. Comput. Electr. Eng. 39(4): 1142-1152 (2013) - 2012
- [j1]Nitin Kanaskar, Remzi Seker, Jiang Bian, Vir V. Phoha:
Dynamical System Theory for the Detection of Anomalous Behavior in Computer Programs. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1579-1589 (2012)
Conference and Workshop Papers
- 2024
- [c96]Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen, Jiang Bian, Yonghui Wu:
UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models. BioNLP@ACL 2024: 685-695 - [c95]Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich:
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. LREC/COLING 2024: 3654-3665 - [c94]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 Prosperi, Jiang Bian, Ragnhildur I. Bjarnadottir, Yonghui Wu:
Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing. ICHI 2024: 305-311 - [c93]Leon Kopitar, Gregor Stiglic, Leon Bedrac, Jiang Bian:
Personalized Meal Planning in Inpatient Clinical Dietetics Using Generative Artificial Intelligence: System Description. ICHI 2024: 326-331 - [c92]Zhe He, Yi Guo, Jiang Bian:
Message from the General Chairs; ICHI 2024. ICHI 2024: xxii - 2023
- [c91]Tiancheng Zhou, Zachary Glanz, Mei Liu, Jiang Bian, Rui Yin, Hongyang Gao:
HSELDA: Heterogeneous Sub-Graph Learning for lncRNA-Disease Associations Prediction. BIBM 2023: 1798-1805 - [c90]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: 4426-4430 - [c89]Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu:
On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) 2023: 13801-13813 - [c88]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: 261-267 - [c87]Raseen Tariq, Sheza Malik, Mousumi Roy, Meena Z. Islam, Umair Rasheed, Jiang Bian, Kai Zheng, Rui Zhang:
Assessing ChatGPT for Text Summarization, Simplification and Extraction Tasks. ICHI 2023: 746-749 - [c86]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: 756-759 - [c85]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: 5893-5894 - [c84]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: 98-115 - [c83]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: 419-423 - [c82]Qizhang Feng, Zhimeng Stephen Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu:
Fair Graph Distillation. NeurIPS 2023 - 2022
- [c81]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 - [c80]Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia Prosperi:
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation. AMIA 2022 - [c79]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 - [c78]Mattia 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: 2934-2939 - [c77]Shuang Yang, Xi Yang, Tianchen Lyu, Xing He, Dejana Braithwaite, Hiren J. Mehta, Yi Guo, Yonghui Wu, Jiang Bian:
A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing. ICHI 2022: 618-619 - [c76]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: 4908-4909 - 2021
- [c75]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 - [c74]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 - [c73]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 - [c72]Yunpeng Zhao, Pengfei Yin, Yongqiu Li, Xing He, Jingcheng Du, Cui Tao, Yi Guo, Mattia 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 - [c71]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: 49:1-49:6 - [c70]Mattia 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: 296-303 - [c69]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. KDD 2021: 1287-1297 - [c68]Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner:
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. KDD 2021: 4159-4160 - [c67]Ruipeng Zhang, Mengjun Xie, Jiang Bian:
ReLF: Scalable Remote Live Forensics for Android. TrustCom 2021: 822-831 - 2020
- [c66]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 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]Mattia Prosperi, Jiang Bian, Mo Wang:
Multivariate Independence Set Search via Progressive Addition for Conditional Markov Acyclic Networks. BIBM 2020: 1477-1481 - [c60]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: 1-2 - [c59]Yunpeng Zhao, Mattia 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: 333-344 - 2019
- [c58]Qian Li, Zhe He, Yi Guo, Hansi Zhang, Thomas J. George, William R. Hogan, Neil Charness, Jiang Bian:
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. AMIA 2019 - [c57]Xi Yang, Yan Gong, Nida Waheed, Keith March, Jiang Bian, William R. Hogan, Yonghui Wu:
Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods. AMIA 2019 - [c56]Juan Antonio Lossio-Ventura, Juandiego Morzan, Hugo Alatrista-Salas, Tina Hernandez-Boussard, Jiang Bian:
Clustering and topic modeling over tweets: A comparison over a health dataset. BIBM 2019: 1544-1547 - [c55]Xing He, Jiang Bian:
Towards an Interactive Visualization for Dietary Supplement Knowledge Graph. ICHI 2019: 1 - [c54]Xing He, Hansi Zhang, Xi Yang, Yi Guo, Jiang Bian:
STAT: A Web-based Semantic Text Annotation Tool to Assist Building Mental Health Knowledge Base. ICHI 2019: 1-4 - [c53]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: 1-3 - [c52]Sicheng Zhou, Yunpeng Zhao, Rubina F. Rizvi, Jiang Bian, Ann F. Haynos, Rui Zhang:
Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms. ICHI 2019: 1-4 - [c51]Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis, Jiang Bian, Zhe He:
Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. MedInfo 2019: 273-277 - [c50]Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang:
Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements. MedInfo 2019: 323-327 - [c49]François Modave, Yunpeng Zhao, Janice L. Krieger, Zhe He, Yi Guo, Jinhai Huo, Mattia Prosperi, Jiang Bian:
Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter. MedInfo 2019: 1293-1297 - [c48]Yunpeng Zhao, Jinhai Huo, Mattia Prosperi, Yi Guo, Yongqiu Li, Jiang Bian:
Exploring Lung Cancer Screening Discussions on Twitter. MedInfo 2019: 2011-2012 - [c47]Hansi Zhang, Xing He, Tyler Harrison, Jiang Bian:
Aero: An Evidence-based Semantic Web Knowledge Base of Cancer Behavioral Risk Factors. SEPDA@ISWC 2019: 7-11 - [c46]Hansi Zhang, Yi Guo, Jiang Bian:
Ontology for Documentation of Variable and Data Source Selection Process to Support Integrative Data Analysis in Cancer Outcomes Research. SEPDA@ISWC 2019: 63-67 - 2018
- [c45]Yonghui Wu, Xi Yang, Jiang Bian, Yi Guo, Hua Xu, William R. Hogan:
Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition. AMIA 2018 - [c44]Hansi Zhang, Zhe He, Xing He, Yi Guo, David R. Nelson, François Modave, Yonghui Wu, William R. Hogan, Mattia Prosperi, Jiang Bian:
Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials. AMIA 2018 - [c43]Juan Antonio Lossio-Ventura, Jiang Bian:
An inside look at the Opioid Crisis over Twitter. BIBM 2018: 1496-1499 - [c42]Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jiang Bian:
Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph. BIBM 2018: 1649-1652 - [c41]Yunpeng Zhao, Yi Guo, Xing He, Jinhai Huo, Yonghui Wu, Xi Yang, Jiang Bian:
Assessing Mental Health Signals Among Sexual and Gender Minorities using Twitter Data. ICHI Workshops 2018: 51-52 - [c40]Yefeng Wang, Yunpeng Zhao, Jiang Bian, Rui Zhang:
Detecting Signals of Associations Between Dietary Supplement Use and Mental Disorders from Twitter. ICHI Workshops 2018: 53-54 - [c39]Xi Yang, Jiang Bian, Yonghui Wu:
Detecting Medications and Adverse Drug Events in Clinical Notes Using Recurrent Neural Networks. Medication and Adverse Drug Event Detection 2018: 1-6 - [c38]Xinsong Du, Jiang Bian, Mattia Prosperi:
An Operational Deep Learning Pipeline for Classifying Life Events from Individual Tweets. SIMBig 2018: 54-66 - 2017
- [c37]Zhe He, Zhiwei Chen, Sarah Mixon, Jiang Bian:
A Visual Analysis Tool of Qualitative Eligibility Criteria of Clinical Studies. AMIA 2017 - [c36]Zhe He, Arturo Gonzalez-Izquierdo, Spiros C. Denaxas, Andrei Sura, Yi Guo, William R. Hogan, Elizabeth Shenkman, Jiang Bian:
Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus. AMIA 2017 - [c35]Jiang Bian, Andrei Sura, Gloria P. Lipori, Yi Guo, François Modave, Zhe He, Elizabeth Shenkman, William R. Hogan:
Implementing a Hash-based Privacy-Preserving Entity Resolution Tool in the OneFlorida Clinical Data Research Network. AMIA 2017 - [c34]Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Amanda Hicks, Yi Guo, Zhe He, Mirela Vasconcelos, Jiang Bian:
Building an Obesity and Cancer Semantic Web Knowledge Base. AMIA 2017 - [c33]Hansi Zhang, Yunpeng Zhao, Christopher Wheldon, Xinsong Du, Terrell Brown, Yi Guo, Stephanie Staras, Jingcheng Du, Cui Tao, Jiang Bian:
A Twitter Study of the Relationship between the Geographic Variations of HPV Vaccination Rates and Online Information in the United States. AMIA 2017 - [c32]Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian:
An exploration of semantic relations in neural word embeddings using extrinsic knowledge. BIBM 2017: 1246-1251 - [c31]Zhe He, Yehoshua Perl, Gai Elhanan, Yan Chen, James Geller, Jiang Bian:
Auditing the assignments of top-level semantic types in the UMLS semantic network to UMLS concepts. BIBM 2017: 1262-1269 - [c30]Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Yi Guo, Zhe He, Amanda Hicks, Jiang Bian:
OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base. BIBM 2017: 1284-1287 - [c29]Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth A. Shenkman, Jiang Bian:
Data integration through ontology-based data access to support integrative data analysis: A case study of cancer survival. BIBM 2017: 1300-1303 - [c28]Dharani K. Balasubramanian, Jamillah Z. Khan, Jiang Bian, Yi Guo, William R. Hogan, Amanda Hicks:
Ontology of Cancer Related Social-Ecological Variables. ICBO 2017 - [c27]Tianyao Huo, Thomas J. George Jr., Yi Guo, Zhe He, Mattia Prosperi, François Modave, Jiang Bian:
Explore Care Pathways of Colorectal Cancer Patients with Social Network Analysis. MedInfo 2017: 1270 - 2016
- [c26]Zhe He, Neil Charness, Jiang Bian, William R. Hogan:
Assessing the comorbidity gap between clinical studies and prevalence in elderly patient populations. BHI 2016: 136-139 - [c25]Zhe He, Zhiwei Chen, Jiang Bian:
Analysis of temporal constraints in qualitative eligibility criteria of cancer clinical studies. BIBM 2016: 717-722 - [c24]Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Amanda Hicks, Josh Hanna, Yi Guo, Zhe He, Jiang Bian:
Towards an obesity-cancer knowledge base: Biomedical entity identification and relation detection. BIBM 2016: 1081-1088 - [c23]Yanyan Li, Mengjun Xie, Jiang Bian:
SEGAUTH: A segment-based approach to behavioral biometric authentication. CNS 2016: 1-9 - [c22]Zhe He, Zhiwei Chen, Thomas J. George, Gloria P. Lipori, Jiang Bian:
Assessing the population representativeness of colorectal cancer treatment clinical trials. EMBC 2016: 2970-2973 - [c21]Cilia E. Zayas, Zhe He, Jiawei Yuan, Mildred Maldonado-Molina, William R. Hogan, François Modave, Yi Guo, Jiang Bian:
Examining Healthcare Utilization Patterns of Elderly and Middle-Aged Adults in the United States. FLAIRS 2016: 361-367 - [c20]Amanda Hicks, Michael W. Rutherford, Christiane Fellbaum, Jiang Bian:
An Analysis of WordNet's Coverage of Gender Identity Using Twitter and The National Transgender Discrimination Survey. GWC 2016: 123-130 - 2015
- [c19]Amanda Hicks, William R. Hogan, Michael W. Rutherford, Bradley A. Malin, Mengjun Xie, Christiane Fellbaum, Zhijun Yin, Daniel Fabbri, Josh Hanna, Jiang Bian:
Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms. AMIA 2015 - [c18]Mengjun Xie, Yanyan Li, Kenji Yoshigoe, Remzi Seker, Jiang Bian:
CamAuth: Securing Web Authentication with Camera. HASE 2015: 232-239 - [c17]Yanyan Li, Junshuang Yang, Mengjun Xie, Dylan Carlson, Han Gil Jang, Jiang Bian:
Comparison of PIN- and pattern-based behavioral biometric authentication on mobile devices. MILCOM 2015: 1317-1322 - 2014
- [c16]Yue Zhao, Kenji Yoshigoe, Mengjun Xie, Suijian Zhou, Remzi Seker, Jiang Bian:
LightGraph: Lighten Communication in Distributed Graph-Parallel Processing. BigData Congress 2014: 717-724 - [c15]Yanyan Li, Mengjun Xie, Jiang Bian:
USign - A security enhanced electronic consent model. EMBC 2014: 4487-4490 - 2013
- [c14]Jiang Bian, Mengjun Xie, Umit Topaloglu, Teresa Hudson, William R. Hogan:
Understanding biomedicai research collaborations through social network analysis: A case study. BIBM 2013: 9-16 - [c13]Mengjun Xie, Umit Topaloglu, Thomas Powell, Chao Peng, Jiang Bian:
SIM: A smartphone-based identity management framework and its application to Arkansas trauma image repository. BIBM 2013: 53-60 - [c12]Mengjun Xie, Liang Hao, Kenji Yoshigoe, Jiang Bian:
CamTalk: A Bidirectional Light Communications Framework for Secure Communications on Smartphones. SecureComm 2013: 35-52 - 2012
- [c11]Jiang Bian, Umit Topaloglu, Fan Yu:
Towards large-scale twitter mining for drug-related adverse events. SHB 2012: 25-32 - 2011
- [c10]Vimalathithan Subramanian, Remzi Seker, Jiang Bian, Nitin Kanaskar:
Collaborations, mergers, acquisitions, and security policy conflict analysis. CSIIRW 2011: 36 - [c9]Jiang Bian, Josh M. Cisler, Mengjun Xie, George Andrew James, Remzi Seker, Clinton D. Kilts:
A methodology for empirical analysis of brain connectivity through graph mining. SMC 2011: 2963-2969 - 2010
- [c8]Jiang Bian, Remzi Seker, Umit Topaloglu:
A Secure Distributed File System for Medical Image Archiving. SocialCom/PASSAT 2010: 961-966 - 2009
- [c7]Jiang Bian, Remzi Seker:
JigDFS: A secure distributed file system. CICS 2009: 76-82 - [c6]Jiang Bian, Remzi Seker, Srini Ramaswamy:
JigDFS in container communities for international cargo security. CSIIRW 2009: 19 - [c5]Chia-Chu Chiang, Coskun Bayrak, Remzi Seker, Umit Topaloglu, Rustu Murat Demirer, Nasrola Samadi, Suleyman Tek, Jiang Bian, GuangXu Zhou, Xiaoran Wang:
Design of a Lattice-based Access Control Scheme. SMC 2009: 68-73 - [c4]Jiang Bian, Remzi Seker, Srini Ramaswamy:
JigDFS for Implementing Secure Container Communities. SMC 2009: 3651-3654 - 2008
- [c3]Jiang Bian, Umit Topaloglu, Remzi Seker, Coskun Bayrak, Chia-Chu Chiang:
A role-based secure group communication framework. SoSE 2008: 1-6 - [c2]Jiang Bian, Remzi Seker, Umit Topaloglu, Coskun Bayrak:
Off-the-Record Secure Chat Room. WEBIST (1) 2008: 54-61 - 2007
- [c1]Jiang Bian, Remzi Seker, Umit Topaloglu:
Off-the-Record Instant Messaging for Group Conversation. IRI 2007: 79-84
Editorship
- 2019
- [e1]Zhe He, Jiang Bian, Cui Tao, Rui Zhang:
Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), Aukland, New Zealand, October 27, 2019. CEUR Workshop Proceedings 2427, CEUR-WS.org 2019 [contents]
Informal and Other Publications
- 2024
- [i43]Tingsong Xiao, Zelin Xu, Wenchong He, Jim Su, Yupu Zhang, Raymond Opoku, Ronald L. Ison, Jason Petho, Jiang Bian, Patrick James Tighe, Parisa Rashidi, Zhe Jiang:
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. CoRR abs/2402.02258 (2024) - [i42]Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Kuttichi Keloth, Xingyu Zhou, Huan He, Lucila Ohno-Machido, Yonghui Wu, Hua Xu, Jiang Bian:
Me LLaMA: Foundation Large Language Models for Medical Applications. CoRR abs/2402.12749 (2024) - [i41]Aokun Chen, Qian Li, Yu Huang, Yongqiu Li, Yu-Neng Chuang, Xia Hu, Serena Guo, Yonghui Wu, Yi Guo, Jiang Bian:
Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data. CoRR abs/2402.15515 (2024) - [i40]Ziyi Chen, Mengyuan Zhang, Mustafa Mohammed Ahmed, Yi Guo, Thomas J. George, Jiang Bian, Yonghui Wu:
Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure. CoRR abs/2403.11425 (2024) - [i39]Cheng Peng, Zehao Yu, Kaleb E. Smith, Wei-Hsuan Lo-Ciganic, Jiang Bian, Yonghui Wu:
Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning. CoRR abs/2403.12374 (2024) - [i38]Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich:
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. CoRR abs/2404.05694 (2024) - [i37]Rachael Fleurence, Jiang Bian, Xiaoyan Wang, Hua Xu, Dalia Dawoud, Mitch Higashi, Jagpreet Chhatwal:
Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations. CoRR abs/2407.11054 (2024) - [i36]Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen, Jiang Bian, Yonghui Wu:
UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models. CoRR abs/2407.15359 (2024) - [i35]Chengkun Sun, Jinqian Pan, Russell Terry, Jiang Bian, Jie Xu:
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models. CoRR abs/2409.13116 (2024) - [i34]Chengkun Sun, Jinqian Pan, Juoli Jin, Russell Terry, Jiang Bian, Jie Xu:
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities. CoRR abs/2409.13154 (2024) - 2023
- [i33]Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia Prosperi:
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data. CoRR abs/2303.04201 (2023) - [i32]Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu:
Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures. CoRR abs/2303.08259 (2023) - [i31]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 abs/2303.08262 (2023) - [i30]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 Prosperi, Jiang Bian, Ragnhildur I. Bjarnadottir, Yonghui Wu:
Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing. CoRR abs/2304.00111 (2023) - [i29]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 Shenkman, Yi Guo, Jiang Bian, Yonghui Wu:
A Study of Generative Large Language Model for Medical Research and Healthcare. CoRR abs/2305.13523 (2023) - [i28]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 abs/2307.15715 (2023) - [i27]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 abs/2308.04313 (2023) - [i26]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 abs/2309.02467 (2023) - [i25]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 abs/2310.06239 (2023) - [i24]Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu:
On the Impact of Cross-Domain Data on German Language Models. CoRR abs/2310.07321 (2023) - [i23]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 abs/2312.06099 (2023) - [i22]Qiaosi Tang, Ranjala Ratnayake, Gustavo de M. Seabra, Zhe Jiang, Ruogu Fang, Lina Cui, Yousong Ding, Tamer Kahveci, Jiang Bian, Chenglong Li, Hendrik Luesch, Yanjun Li:
Morphological Profiling for Drug Discovery in the Era of Deep Learning. CoRR abs/2312.07899 (2023) - 2022
- [i21]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 abs/2202.10991 (2022) - [i20]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 abs/2203.03540 (2022) - [i19]Inyoung Jun, Simone Marini, Christina Boucher, J. Glenn Morris, Jiang Bian, Mattia 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 abs/2207.07458 (2022) - [i18]Zheng Feng, Mattia Prosperi, Jiang Bian:
Variational Temporal Deconfounder for Individualized Treatment Effect Estimation from Longitudinal Observational Data. CoRR abs/2207.11251 (2022) - [i17]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 abs/2212.03000 (2022) - 2021
- [i16]Zhaoyi Chen, Xiong Liu, William R. Hogan, Elizabeth Shenkman, Jiang Bian:
Applications of artificial intelligence in drug development using real-world data. CoRR abs/2101.08904 (2021) - [i15]Esha Singh, Anusha Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang:
A Conversational Agent System for Dietary Supplements Use. CoRR abs/2104.01543 (2021) - [i14]Yefeng Wang, Yunpeng Zhao, Jiang Bian, Rui Zhang:
Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter. CoRR abs/2106.11403 (2021) - [i13]Mattia 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 abs/2107.03383 (2021) - [i12]Xi Yang, Zehao Yu, Yi Guo, Jiang Bian, Yonghui Wu:
Clinical Relation Extraction Using Transformer-based Models. CoRR abs/2107.08957 (2021) - [i11]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 abs/2108.04949 (2021) - [i10]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. CoRR abs/2108.05335 (2021) - 2020
- [i9]Yunpeng Zhao, Mattia Prosperi, Tianchen Lyu, Yi Guo, Jiang Bian:
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets. CoRR abs/2003.12139 (2020) - [i8]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 abs/2007.02333 (2020) - 2019
- [i7]Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis, Jiang Bian, Zhe He:
Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. CoRR abs/1904.12383 (2019) - [i6]François Modave, Yunpeng Zhao, Janice L. Krieger, Zhe He, Yi Guo, Jinhai Huo, Mattia Prosperi, Jiang Bian:
Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter. CoRR abs/1905.12469 (2019) - [i5]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 abs/1906.03171 (2019) - [i4]Hansi Zhang, Christopher Wheldon, Adam G. Dunn, Cui Tao, Jinhai Huo, Rui Zhang, Mattia Prosperi, Yi Guo, Jiang Bian:
Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States. CoRR abs/1907.11624 (2019) - [i3]Xi Yang, Yan Gong, Nida Waheed, Keith March, Jiang Bian, William R. Hogan, Yonghui Wu:
Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods. CoRR abs/1910.00582 (2019) - 2018
- [i2]Laura A. Barrett, Seyedeh Neelufar Payrovnaziri, Jiang Bian, Zhe He:
Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. CoRR abs/1812.05072 (2018) - 2017
- [i1]You Chen, Abel N. Kho, David M. Liebovitz, Catherine Ivory, Sarah Osmundson, Jiang Bian, Bradley A. Malin:
Learning Bundled Care Opportunities from Electronic Medical Records. CoRR abs/1706.00487 (2017)
Coauthor Index
Thomas J. George
aka: Thomas J. George Jr.
aka: Thomas J. George Jr.
[j80] [j74] [j72] [j69] [j67] [j63] [j62] [j60] [j58] [j57] [j50] [j49] [j47] [j45] [j43] [j41] [j38] [j32] [j30] [j28] [j24] [j12] [j11] [j9] [c92] [c86] [c83] [c81] [c77] [c75] [c74] [c72] [c71] [c66] [c63] [c60] [c59] [c58] [c54] [c49] [c48] [c46] [c45] [c44] [c42] [c41] [c36] [c35] [c34] [c33] [c30] [c29] [c28] [c27] [c24] [c21] [i41] [i40] [i32] [i29] [i17] [i12] [i11] [i9] [i6] [i4]
Elizabeth Shenkman
aka: Elizabeth A. Shenkman
aka: Elizabeth A. Shenkman
[j77] [j75] [j74] [j72] [j71] [j69] [j68] [j64] [j63] [j62] [j60] [j58] [j53] [j48] [j41] [j39] [j33] [j32] [j23] [c96] [c95] [c94] [c89] [c86] [c83] [c77] [c74] [c73] [c72] [c71] [c66] [c60] [c57] [c53] [c45] [c44] [c41] [c39] [i42] [i41] [i40] [i39] [i38] [i36] [i32] [i31] [i30] [i29] [i25] [i24] [i23] [i20] [i17] [i12] [i11] [i3]
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