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Journal Articles
- 2024
[j12]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)- [j11]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) - 2023
- [j10]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) - [j9]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
- [j8]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) - [j7]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
- [j6]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
- [j5]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) - [j4]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) - 2019
- [j3]Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka:
Expenditure variations analysis using residuals for identifying high health care utilizers in a state Medicaid program. BMC Medical Informatics Decis. Mak. 19(1): 131:1-131:15 (2019) - 2018
- [j2]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
- [j1]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)
Conference and Workshop Papers
- 2025
- [c11]Yongqiu Li, Yu Huang, Shuang Yang, Elahe M. Shychuk, Elizabeth A. Shenkman, Jiang Bian, Amber M. Angell, Yi Guo:
Machine Learning Prediction of Autism Spectrum Disorder Diagnosis Through Linking Mothers' and Children's Electronic Health Records. ICHI 2025: 11-17 - 2023
- [c10]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 - 2020
- [c9]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 - 2019
- [c8]Thomas Carton, Maryan Zirkle, Elizabeth Shenkman, Abel N. Kho, Adrian Hernandez:
If You Build It, They Will Come: The National Patient-Centered Clinical Research Network (PCORnet): From Conception to Execution. AMIA 2019 - 2018
- [c7]Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka:
Clustering Inter-Arrival Time of Health Care Encounters for High Utilizers. HealthCom 2018: 1-6 - 2017
- [c6]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 - [c5]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 - [c4]Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka:
Identifying High Health Care Utilizers Using Post-Regression Residual Analysis of Health Expenditures from a State Medicaid Program. AMIA 2017 - [c3]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 - [c2]Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka:
Machine Learning Approaches for Predicting High Utilizers in Health Care. IWBBIO (2) 2017: 382-395 - 2016
- [c1]Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka:
Predicting 30-day all-cause readmissions from hospital inpatient discharge data. HealthCom 2016: 1-6
Informal and Other Publications
- 2023
- [i4]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) - [i3]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
- [i2]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) - 2021
- [i1]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)
Coauthor Index
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