Elizabeth Shenkman

According to our database, Elizabeth Shenkman authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian

Informatics, 2024

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, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Hui Shao

J. Am. Medical Informatics Assoc., December, 2023

A study of generative large language model for medical research and healthcare.

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

npj Digit. Medicine, 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, Jingchuan Guo, William T. Donahoo, Zhengkang Fan, Ying Lu, Wei-Han William Chen, Huilin Tang, Lori Bilello, Elizabeth A. Shenkman, Jiang Bian

CoRR, 2023

A Study of Generative Large Language Model for Medical Research and Healthcare.

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

CoRR, 2023

Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients.

Aokun Chen, Qian Li, Elizabeth Shenkman, Yonghui Wu, Yi Guo, Jiang Bian

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

A large language model for electronic health records.

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

npj Digit. Medicine, 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, Gigi Lipori, Christopher A. Harle, Tanja Magoc, Lizabeth Manini, Tona Mendoza, Sonya White, Alex Loiacono, Jackie Hall, Dave Nelson

J. Am. Medical Informatics Assoc., 2022

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records.

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

CoRR, 2022

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, Thomas J. George, Mattia Prosperi, William R. Hogan, Zhe He, Elizabeth A. Shenkman, Fei Wang, Jiang Bian

npj Digit. Medicine, 2021

Applications of artificial intelligence in drug development using real-world data.

Zhaoyi Chen, Xiong Liu, William R. Hogan, Elizabeth Shenkman, Jiang Bian

CoRR, 2021

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, 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

J. Am. Medical Informatics Assoc., 2020

Assessing the effect of data integration on predictive ability of cancer survival models.

Yi Guo, Jiang Bian, François Modave, Qian Li, Thomas J. George, Mattia Prosperi, Elizabeth Shenkman

Health Informatics J., 2020

Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups.

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

Proceedings of the AMIA 2020, 2020

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

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

Proceedings of the AMIA 2019, 2019

2018

An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival.

Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth Shenkman, François Modave, Jiang Bian

BMC Medical Informatics Decis. Mak., 2018

Clustering Inter-Arrival Time of Health Care Encounters for High Utilizers.

Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka

Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

2017

Towards a privacy preserving cohort discovery framework for clinical research networks.

Jiawei Yuan, Bradley A. Malin, François Modave, Yi Guo, William R. Hogan, Elizabeth Shenkman, Jiang Bian

J. Biomed. Informatics, 2017

Machine Learning Approaches for Predicting High Utilizers in Health Care.

Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka

Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Data integration through ontology-based data access to support integrative data analysis: A case study of cancer survival.

Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth A. Shenkman, Jiang Bian

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 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

Proceedings of the AMIA 2017, 2017

Implementing a Hash-based Privacy-Preserving Entity Resolution Tool in the OneFlorida Clinical Data Research Network.

Jiang Bian, Andrei Sura, Gloria P. Lipori, Yi Guo, François Modave, Zhe He, Elizabeth Shenkman, William R. Hogan

Proceedings of the AMIA 2017, 2017

Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus.

Zhe He, Arturo Gonzalez-Izquierdo, Spiros C. Denaxas, Andrei Sura, Yi Guo, William R. Hogan, Elizabeth Shenkman, Jiang Bian

Proceedings of the AMIA 2017, 2017

2016

Predicting 30-day all-cause readmissions from hospital inpatient discharge data.

Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka

Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016