Regina Castro

According to our database, Regina Castro authored at least 13 papers between 2013 and 2021.

Collaborative distances:

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

2021

A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data.

Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon

IEEE J. Biomed. Health Informatics, 2021

2020

Predicting diabetes clinical outcomes using longitudinal risk factor trajectories.

György J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar, Pedro J. Caraballo

BMC Medical Informatics Decis. Mak., 2020

A novel method for Causal Structure Discovery from EHR data, a demonstration on type-2 diabetes mellitus.

Xinpeng Shen, Sisi Ma, Prashanthi Vemuri, M. Regina Castro, Pedro J. Caraballo, György J. Simon

CoRR, 2020

2019

Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus.

Era Kim, Pedro J. Caraballo, M. Regina Castro, David S. Pieczkiewicz, György J. Simon

J. Medical Syst., 2019

Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks.

Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects.

Pranjul Yadav, Michael S. Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, György J. Simon

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Using Electronic Health Record Data to Identify Patients with Prediabetes.

Thomas J. O'Byrne, M. Regina Castro, Che Ngufor, György J. Simon, Pedro J. Caraballo

Proceedings of the AMIA 2019, 2019

2017

Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks.

Wonsuk Oh, Pranjul Yadav, Vipin Kumar, Pedro J. Caraballo, M. Regina Castro, Michael S. Steinbach, György J. Simon

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2016

Type 2 Diabetes Mellitus Trajectories and Associated Risks.

Wonsuk Oh, Era Kim, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, Michael S. Steinbach, György J. Simon

Big Data, 2016

2015

Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus.

György J. Simon, Pedro J. Caraballo, Terry M. Therneau, Steven S. Cha, M. Regina Castro, Peter W. Li

IEEE Trans. Knowl. Data Eng., 2015

2014

Divisive Hierarchical Clustering towards Identifying Clinically Significant Pre-Diabetes Subpopulations.

Era Kim, Wonsuk Oh, David S. Pieczkiewicz, M. Regina Castro, Pedro J. Caraballo, György J. Simon

Proceedings of the AMIA 2014, 2014

2013

Survival Association Rule Mining Towards Type 2 Diabetes Risk Assessment.

György J. Simon, John Schrom, Regina Castro, Peter W. Li, Pedro J. Caraballo

Proceedings of the AMIA 2013, 2013

Quantifying the Effect of Statin Use in Pre-Diabetic Phenotypes Discovered Through Association Rule Mining.

John Schrom, Pedro J. Caraballo, Regina Castro, György J. Simon

Proceedings of the AMIA 2013, 2013