Predicting 30-day all-cause readmissions from hospital inpatient discharge data. - Chengliang Yang; Chris Delcher; Elizabeth Shenkman; Sanjay Ranka (HealthCom, 2016)

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

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

Identifying High Health Care Utilizers Using Post-Regression Residual Analysis of Health Expenditures from a State Medicaid Program. - Chengliang Yang; Chris Delcher; Elizabeth Shenkman; Sanjay Ranka (AMIA, 2017)

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

Machine Learning Approaches for Predicting High Utilizers in Health Care. - Chengliang Yang; Chris Delcher; Elizabeth Shenkman; Sanjay Ranka (IWBBIO (2), 2017)

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

Clustering Inter-Arrival Time of Health Care Encounters for High Utilizers. - Chengliang Yang; Chris Delcher; Elizabeth Shenkman; Sanjay Ranka (HealthCom, 2018)

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

If You Build It, They Will Come: The National Patient-Centered Clinical Research Network (PCORnet): From Conception to Execution. - Thomas Carton; Maryan Zirkle; Elizabeth Shenkman; Abel N. Kho; Adrian Hernandez (AMIA, 2019)

Expenditure variations analysis using residuals for identifying high health care utilizers in a state Medicaid program. - Chengliang Yang; Chris Delcher; Elizabeth Shenkman; Sanjay Ranka (BMC Medical Informatics Decis. Mak., 2019)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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