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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://dblp1.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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2020 – today
- 2023
[j65]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)- [j64]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) - [j63]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) - [j62]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) - [j61]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) - [j60]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) - [c83]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 - [c82]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 - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - 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) - [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 - [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
- [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) - [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 - [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
- [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 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) - [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 - [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)
2010 – 2019
- 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) - [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]