György J. Simon

According to our database, György J. Simon authored at least 70 papers between 1993 and 2023.

Collaborative distances:

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

2023

Machine Learning for Risk Prediction of Recurrent AKI in Adult Patients After Hospital Discharge.

Jianqiu Zhang, Paul E. Drawz, György J. Simon, Terrence J. Adam, Genevieve B. Melton

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Decision Support System Detecting Patients at Risk of Prolonged QT and Associated Mortality.

Pedro J. Caraballo, Johan M. Bos, Ray Qian, Karen M. Fischer, Paul J. Johnsen, Diana J. Schreie, György J. Simon, Michael J. Ackerman

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Causal Structure Learning from Imperfect Longitudinal Data in Healthcare.

Haoyu Yang, Roshan Tourani, Jia Li, Pedro J. Caraballo, Michael S. Steinbach, Vipin Kumar, György J. Simon

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

2022

Robust Methods for Quantifying the Effect of a Continuous Exposure From Observational Data.

Roshan Tourani, Sisi Ma, Michael Usher, György J. Simon

IEEE J. Biomed. Health Informatics, 2022

Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients.

Sicheng Zhou, Rui Zhang, Anne H. Blaes, Chetan Shenoy, György J. Simon

CoRR, 2022

A novel method for handling Missing Not at Random Data in the electronic health records.

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

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients Using Electronic Health Record.

Sicheng Zhou, Rui Zhang, Xinpeng Shen, Chetan Shenoy, Anne H. Blaes, György J. Simon

Proceedings of the AMIA 2022, 2022

Application of Causal Discovery Algorithms in Studying the Nephrotoxicity of Remdesivir Using Longitudinal Data from the EHR.

Jianqiu Zhang, Erich Kummerfeld, Gretchen M. Hultman, Paul E. Drawz, Terrence Adams, György J. Simon, Genevieve B. Melton

Proceedings of the AMIA 2022, 2022

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

Strategies for building robust prediction models using data unavailable at prediction time.

Haoyu Yang, Roshan Tourani, Ying Zhu, Vipin Kumar, Genevieve B. Melton, Michael S. Steinbach, György J. Simon

J. Am. Medical Informatics Assoc., 2021

A likelihood-based convolution approach to estimate major health events in longitudinal health records data: an external validation study.

Lisiane Pruinelli, Jiaqi Zhou, Bethany Stai, Jesse Schold, Timothy Pruett, Sisi Ma, György J. Simon

J. Am. Medical Informatics Assoc., 2021

NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models.

Greg M. Silverman, Himanshu S. Sahoo, Nicholas Ingraham, Monica Lupei, Michael A. Puskarich, Michael Usher, James Dries, Raymond L. Finzel, Eric Murray, John Sartori, György J. Simon, Rui Zhang, Genevieve B. Melton, Christopher J. Tignanelli, Serguei V. S. Pakhomov

J. Artif. Intell. Res., 2021

Disparity in Access to Care Impacts Liver Transplant Mortality.

Danielle Lentobarros, Sarah Karp, György J. Simon, Timothy Pruett, Jesse Schold, Lisiane Pruinelli

Proceedings of the Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics, Virtual Event, 23 August, 2021

Validation of Administrative Coding and Clinical Notes for Hospital-Acquired Acute Kidney Injury in Adults.

Jianqiu Zhang, Paul E. Drawz, Ying Zhu, Gretchen M. Hultman, György J. Simon, Genevieve B. Melton

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 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

Teaching deep learning causal effects improves predictive performance.

Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon

CoRR, 2020

Variability in General Health Status Post Liver Transplantation.

Lisiane Pruinelli, Alana Schmiesing, Michelle James, Michelle Mathianson-Moore, Jesse Schold, György J. Simon

Proceedings of the First Workshop on Artificial Intelligence for Function, Disability, and Health co-located with the 2020 International Joint Conference on Artificial Intelligence, 2020

Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are Scarce.

Ying Zhu, Roshan Tourani, Adam Sheka, Elizabeth C. Wick, Genevieve B. Melton, György J. Simon

Proceedings of the Artificial Intelligence in Medicine, 2020

Consensus Modeling: A Transfer Learning Approach for Small Health Systems.

Roshan Tourani, Dennis H. Murphree, Ying Zhu, Adam Sheka, Genevieve B. Melton, Daryl J. Kor, György J. Simon

Proceedings of the Artificial Intelligence in Medicine, 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

The Value of Aggregated High-Resolution Intraoperative Data for Predicting Post-Surgical Infectious Complications at Two Independent Sites.

Roshan Tourani, Dennis H. Murphree, Genevieve Melton-Meaux, Elizabeth C. Wick, Daryl J. Kor, György J. Simon

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

A Multi-Dimensional General Health Status Concept to Predict Liver Transplant Mortality.

Lisiane Pruinelli, Bonnie L. Westra, Timothy Pruett, Karen A. Monsen, Cynthia R. Gross, David R. Radosevich, Sisi Ma, György J. Simon

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

A Likelihood-based Convolution Approach to Estimate Event Occurrences in Large Longitudinal Incomplete Clinical Data.

Lisiane Pruinelli, Bethany Stai, Sisi Ma, Timothy Pruett, György J. Simon

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 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

A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases.

Che Ngufor, Pedro J. Caraballo, Thomas J. O'Byrne, David Chen, Nilay D. Shah, Michael S. Steinbach, György J. Simon

Proceedings of the AMIA 2019, 2019

2018

Mining Electronic Health Records (EHRs): A Survey.

Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon

ACM Comput. Surv., 2018

Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis.

Jia Li, Mengdie Wang, Michael S. Steinbach, Vipin Kumar, György J. Simon

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017

Providers' Response to Clinical Decision Support for QT Prolonging Drugs.

Sunita Sharma, J. Martijn Bos, Robert F. Tarrell, György J. Simon, Bruce W. Morlan, Michael J. Ackerman, Pedro J. Caraballo

J. Medical Syst., 2017

Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.

Zhen Hu, Genevieve B. Melton, Elliot G. Arsoniadis, Yan Wang, Mary R. Kwaan, György J. Simon

J. Biomed. Informatics, 2017

Advancing Alzheimer's research: A review of big data promises.

Rui Zhang, György J. Simon, Fang Yu

Int. J. Medical Informatics, 2017

Mining Electronic Health Records: A Survey.

Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon

CoRR, 2017

Quantifying the Effect of Data Quality on the Validity of an eMeasure.

Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra

Appl. Clin. Inform., 2017

Characterizing Surgical Site Infection Signals in Clinical Notes.

Steven J. Skube, Zhen Hu, Elliot G. Arsoniadis, György J. Simon, Elizabeth C. Wick, Clifford Y. Ko, Genevieve B. Melton

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 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

Causal Phenotyping for Susceptibility to Cardiotoxicity from Antineoplastic Breast Cancer Medications.

Deyu Sun, György J. Simon, Steven J. Skube, Anne H. Blaes, Genevieve B. Melton, Rui Zhang

Proceedings of the AMIA 2017, 2017

2016

Causal Inference in Observational Data.

Pranjul Yadav, Lisiane Pruinelli, Alexander Hoff, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar, György J. Simon

CoRR, 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

Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data.

Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra, Steven G. Johnson

Appl. Clin. Inform., 2016

Clustering the Whole-Person Health Data to Predict Liver Transplant Survival.

Lisiane Pruinelli, Karen A. Monsen, György J. Simon, Bonnie L. Westra

Proceedings of the Nursing Informatics 2016 - eHealth for All: Every Level Collaboration, 2016

A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications.

Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Jakob Johnson, Sanjoy Dey, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra, György J. Simon

Proceedings of the Summit on Clinical Research Informatics, 2016

Quantifying the Effect of Data Quality on the Correctness of an eMeasure.

Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra

Proceedings of the AMIA 2016, 2016

Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications.

Zhen Hu, Genevieve B. Melton, Nathan D. Moeller, Elliot G. Arsoniadis, Yan Wang, Mary R. Kwaan, Eric Jensen, György J. Simon

Proceedings of the AMIA 2016, 2016

Clinical Decision Support to Detect High Risk Patients with QTc Prolongation.

Christopher A. Aakre, J. Martijn Bos, György J. Simon, Robert F. Tarrell, Michael J. Ackerman, Pedro J. Caraballo

Proceedings of the AMIA 2016, 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

Using EHR-Linked Biobank Data to Study Metformin Pharmacogenomics.

Matthew K. Breitenstein, György J. Simon, Euijung Ryu, Sebastian M. Armasu, Richard M. Weinshilboum, Liewei Wang, Jyotishman Pathak

Proceedings of the Digital Healthcare Empowering Europeans, 2015

Automated Detection of Postoperative Surgical Site Infections Using Supervised Methods with Electronic Health Record Data.

Zhen Hu, György J. Simon, Elliot G. Arsoniadis, Yan Wang, Mary R. Kwaan, Genevieve B. Melton

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Strategies for Handling Missing Data in Detecting Postoperative Surgical Site Infections.

Zhen Hu, Genevieve B. Melton, György J. Simon

Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Forensic Style Analysis with Survival Trajectories.

Pranjul Yadav, Michael S. Steinbach, Lisiane Pruinelli, Bonnie L. Westra, Connie Delaney, Vipin Kumar, György J. Simon

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities.

Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Kevin Schiroo, Sanjoy Dey, György J. Simon, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra

Proceedings of the AMIA 2015, 2015

A Data Quality Ontology for the Secondary Use of EHR Data.

Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra

Proceedings of the AMIA 2015, 2015

Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach.

Sanjoy Dey, Katherine Hauwiller, Pranjul Yadav, Michael S. Steinbach, György J. Simon, Vipin Kumar, Connie White-Delaney, Bonnie L. Westra

Proceedings of the AMIA 2015, 2015

2014

A Gentle Introduction to Support Vector Machines in Biomedicine, Alexander Statnikov, Constantin F. Aliferis, Douglas P. Hardin, Isabelle Guyon. World Scientific (2013). Vols. 1(200 p.) and 2 (212 p.).

György J. Simon, Genevieve B. Melton

J. Biomed. Informatics, 2014

Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records.

Sanjoy Dey, György J. Simon, Bonnie L. Westra, Michael S. Steinbach, Vipin Kumar

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities.

Lisiane Pruinelli, Sanjoy Dey, György J. Simon, Pranjul Yadav, Andrew Hangsleben, Katherine Hauwiller, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra

Proceedings of the AMIA 2014, 2014

Employment of Penalized Models to Predict Cognitive Domain Performance Using Proteomics.

Shauna M. Overgaard, S. Charles Schulz, György J. Simon

Proceedings of the AMIA 2014, 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

Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care.

Sanjoy Dey, Jeremy Weed, Joanna Fakhoury, Jacob Cooner, György J. Simon, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar

Proceedings of the AMIA 2013, 2013

2011

Antemortem differential diagnosis of dementia pathology using structural MRI: Differential-STAND.

Prashanthi Vemuri, György J. Simon, Kejal Kantarci, Jennifer L. Whitwell, Matthew L. Senjem, Scott A. Przybelski, Jeffrey L. Gunter, Keith A. Josephs, David S. Knopman, Bradley F. Boeve, Tanis J. Ferman, Dennis W. Dickson, Joseph E. Parisi, Ronald C. Petersen, Clifford R. Jack Jr.

NeuroImage, 2011

Understanding atrophy trajectories in alzheimer's disease using association rules on MRI images.

György J. Simon, Peter W. Li, Clifford R. Jack Jr., Prashanthi Vemuri

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A simple statistical model and association rule filtering for classification.

György J. Simon, Vipin Kumar, Peter W. Li

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2008

Semi-supervised approach to rapid and reliable labeling of large data sets.

György J. Simon, Vipin Kumar, Zhi-Li Zhang

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Estimating False Negatives for Classification Problems with Cluster Structure.

György J. Simon, Vipin Kumar, Zhi-Li Zhang

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing.

Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric Eilertson, Levent Ertöz, György J. Simon, Seonho Kim, Jinoh Kim

Proceedings of the Computational Science, 2007

2006

Scan Detection: A Data Mining Approach.

György J. Simon, Hui Xiong, Eric Eilertson, Vipin Kumar

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

1993

The SBASE protein domain library, release 2.0: a collection of annotated protein sequence segments.

Sándor Pongor, Vesna Skerl, Miklós Cserzo, Zsolt Hátsági, György J. Simon, Valeria Bevilacqua

Nucleic Acids Res., 1993