György J. Simon

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 46

Top Topics

Decision Support

Causal Structure

Diabetes Mellitus

Top Venues

Publications

Roshan Tourani, Dennis H. Murphree, Adam Sheka, Genevieve B. Melton, Daryl J. Kor, György J. Simon
Consensus modeling: Safer transfer learning for small health systems. Artif. Intell. Medicine 154 (2024)
Pedro J. Caraballo, Johan M. Bos, Ray Qian, Karen M. Fischer, Paul J. Johnsen, Diana J. Schreie, György J. Simon, Michael J. Ackerman
Decision Support System Detecting Patients at Risk of Prolonged QT and Associated Mortality. MedInfo (2023)
Haoyu Yang, Roshan Tourani, Jia Li, Pedro J. Caraballo, Michael S. Steinbach, Vipin Kumar, György J. Simon
Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. ICHI (2023)
Sicheng Zhou, Rui Zhang, Anne H. Blaes, Chetan Shenoy, György J. Simon
Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients. CoRR (2022)
Jianqiu Zhang, Erich Kummerfeld, Gretchen M. Hultman, Paul E. Drawz, Terrence Adams, György J. Simon, Genevieve B. Melton
Application of Causal Discovery Algorithms in Studying the Nephrotoxicity of Remdesivir Using Longitudinal Data from the EHR. AMIA (2022)
Xinpeng Shen, Sisi Ma, Pedro J. Caraballo, Prashanthi Vemuri, György J. Simon
A novel method for handling Missing Not at Random Data in the electronic health records. ICHI (2022)
Roshan Tourani, Sisi Ma, Michael Usher, György J. Simon
Robust Methods for Quantifying the Effect of a Continuous Exposure From Observational Data. IEEE J. Biomed. Health Informatics 26 (11) (2022)
Sicheng Zhou, Rui Zhang, Xinpeng Shen, Chetan Shenoy, Anne H. Blaes, György J. Simon
Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients Using Electronic Health Record. AMIA (2022)
Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon
A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Danielle Lentobarros, Sarah Karp, György J. Simon, Timothy Pruett, Jesse Schold, Lisiane Pruinelli
Disparity in Access to Care Impacts Liver Transplant Mortality. Nursing Informatics (2021)
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
NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models. J. Artif. Intell. Res. 72 (2021)
Lisiane Pruinelli, Jiaqi Zhou, Bethany Stai, Jesse Schold, Timothy Pruett, Sisi Ma, György J. Simon
A likelihood-based convolution approach to estimate major health events in longitudinal health records data: an external validation study. J. Am. Medical Informatics Assoc. 28 (9) (2021)
Haoyu Yang, Roshan Tourani, Ying Zhu, Vipin Kumar, Genevieve B. Melton, Michael S. Steinbach, György J. Simon
Strategies for building robust prediction models using data unavailable at prediction time. J. Am. Medical Informatics Assoc. 29 (1) (2021)
Jianqiu Zhang, Paul E. Drawz, Ying Zhu, Gretchen M. Hultman, György J. Simon, Genevieve B. Melton
Validation of Administrative Coding and Clinical Notes for Hospital-Acquired Acute Kidney Injury in Adults. AMIA (2021)
Xinpeng Shen, Sisi Ma, Prashanthi Vemuri, M. Regina Castro, Pedro J. Caraballo, György J. Simon
A novel method for Causal Structure Discovery from EHR data, a demonstration on type-2 diabetes mellitus. CoRR (2020)
Ying Zhu, Roshan Tourani, Adam Sheka, Elizabeth C. Wick, Genevieve B. Melton, György J. Simon
Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are Scarce. AIME (2020)
György J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar, Pedro J. Caraballo
Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Lisiane Pruinelli, Alana Schmiesing, Michelle James, Michelle Mathianson-Moore, Jesse Schold, György J. Simon
Variability in General Health Status Post Liver Transplantation. AI4Function@IJCAI (2020)
Roshan Tourani, Dennis H. Murphree, Ying Zhu, Adam Sheka, Genevieve B. Melton, Daryl J. Kor, György J. Simon
Consensus Modeling: A Transfer Learning Approach for Small Health Systems. AIME (2020)
Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon
Teaching deep learning causal effects improves predictive performance. CoRR (2020)
Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon
Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks. MedInfo (2019)
Era Kim, Pedro J. Caraballo, M. Regina Castro, David S. Pieczkiewicz, György J. Simon
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. J. Medical Syst. 43 (7) (2019)
Lisiane Pruinelli, Bonnie L. Westra, Timothy Pruett, Karen A. Monsen, Cynthia R. Gross, David R. Radosevich, Sisi Ma, György J. Simon
A Multi-Dimensional General Health Status Concept to Predict Liver Transplant Mortality. ICHI (2019)
Roshan Tourani, Dennis H. Murphree, Genevieve Melton-Meaux, Elizabeth C. Wick, Daryl J. Kor, György J. Simon
The Value of Aggregated High-Resolution Intraoperative Data for Predicting Post-Surgical Infectious Complications at Two Independent Sites. MedInfo (2019)
Pranjul Yadav, Michael S. Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, György J. Simon
Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. IEEE BigData (2019)
Che Ngufor, Pedro J. Caraballo, Thomas J. O'Byrne, David Chen, Nilay D. Shah, Michael S. Steinbach, György J. Simon
A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. AMIA (2019)
Lisiane Pruinelli, Bethany Stai, Sisi Ma, Timothy Pruett, György J. Simon
A Likelihood-based Convolution Approach to Estimate Event Occurrences in Large Longitudinal Incomplete Clinical Data. ICHI (2019)
Thomas J. O'Byrne, M. Regina Castro, Che Ngufor, György J. Simon, Pedro J. Caraballo
Using Electronic Health Record Data to Identify Patients with Prediabetes. AMIA (2019)
Jia Li, Mengdie Wang, Michael S. Steinbach, Vipin Kumar, György J. Simon
Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis. ICBK (2018)
Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
Mining Electronic Health Records (EHRs): A Survey. ACM Comput. Surv. 50 (6) (2018)
Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
Mining Electronic Health Records: A Survey. CoRR (2017)
Sunita Sharma, J. Martijn Bos, Robert F. Tarrell, György J. Simon, Bruce W. Morlan, Michael J. Ackerman, Pedro J. Caraballo
Providers' Response to Clinical Decision Support for QT Prolonging Drugs. J. Medical Syst. 41 (10) (2017)
Steven J. Skube, Zhen Hu, Elliot G. Arsoniadis, György J. Simon, Elizabeth C. Wick, Clifford Y. Ko, Genevieve B. Melton
Characterizing Surgical Site Infection Signals in Clinical Notes. MedInfo (2017)
Rui Zhang, György J. Simon, Fang Yu
Advancing Alzheimer's research: A review of big data promises. Int. J. Medical Informatics 106 (2017)
Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
Quantifying the Effect of Data Quality on the Validity of an eMeasure. Appl. Clin. Inform. 8 (04) (2017)
Deyu Sun, György J. Simon, Steven J. Skube, Anne H. Blaes, Genevieve B. Melton, Rui Zhang
Causal Phenotyping for Susceptibility to Cardiotoxicity from Antineoplastic Breast Cancer Medications. AMIA (2017)
Zhen Hu, Genevieve B. Melton, Elliot G. Arsoniadis, Yan Wang, Mary R. Kwaan, György J. Simon
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record. J. Biomed. Informatics 68 (2017)
Wonsuk Oh, Pranjul Yadav, Vipin Kumar, Pedro J. Caraballo, M. Regina Castro, Michael S. Steinbach, György J. Simon
Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. ICHI (2017)
Wonsuk Oh, Era Kim, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, Michael S. Steinbach, György J. Simon
Type 2 Diabetes Mellitus Trajectories and Associated Risks. Big Data 4 (1) (2016)
Christopher A. Aakre, J. Martijn Bos, György J. Simon, Robert F. Tarrell, Michael J. Ackerman, Pedro J. Caraballo
Clinical Decision Support to Detect High Risk Patients with QTc Prolongation. AMIA (2016)
Zhen Hu, Genevieve B. Melton, Nathan D. Moeller, Elliot G. Arsoniadis, Yan Wang, Mary R. Kwaan, Eric Jensen, György J. Simon
Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications. AMIA (2016)
Pranjul Yadav, Lisiane Pruinelli, Alexander Hoff, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar, György J. Simon
Causal Inference in Observational Data. CoRR (2016)
Lisiane Pruinelli, Karen A. Monsen, György J. Simon, Bonnie L. Westra
Clustering the Whole-Person Health Data to Predict Liver Transplant Survival. Nursing Informatics (2016)
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
A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications. CRI (2016)
Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra, Steven G. Johnson
Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data. Appl. Clin. Inform. 7 (01) (2016)
Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
Quantifying the Effect of Data Quality on the Correctness of an eMeasure. AMIA (2016)
Zhen Hu, Genevieve B. Melton, György J. Simon
Strategies for Handling Missing Data in Detecting Postoperative Surgical Site Infections. ICHI (2015)
Pranjul Yadav, Michael S. Steinbach, Lisiane Pruinelli, Bonnie L. Westra, Connie Delaney, Vipin Kumar, György J. Simon
Forensic Style Analysis with Survival Trajectories. ICDM (2015)
György J. Simon, Pedro J. Caraballo, Terry M. Therneau, Steven S. Cha, M. Regina Castro, Peter W. Li
Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus. IEEE Trans. Knowl. Data Eng. 27 (1) (2015)
Matthew K. Breitenstein, György J. Simon, Euijung Ryu, Sebastian M. Armasu, Richard M. Weinshilboum, Liewei Wang, Jyotishman Pathak
Using EHR-Linked Biobank Data to Study Metformin Pharmacogenomics. MIE (2015)
Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
A Data Quality Ontology for the Secondary Use of EHR Data. AMIA (2015)
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
Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. AMIA (2015)
Zhen Hu, György J. Simon, Elliot G. Arsoniadis, Yan Wang, Mary R. Kwaan, Genevieve B. Melton
Automated Detection of Postoperative Surgical Site Infections Using Supervised Methods with Electronic Health Record Data. MedInfo (2015)
Sanjoy Dey, Katherine Hauwiller, Pranjul Yadav, Michael S. Steinbach, György J. Simon, Vipin Kumar, Connie White-Delaney, Bonnie L. Westra
Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. AMIA (2015)
Era Kim, Wonsuk Oh, David S. Pieczkiewicz, M. Regina Castro, Pedro J. Caraballo, György J. Simon
Divisive Hierarchical Clustering towards Identifying Clinically Significant Pre-Diabetes Subpopulations. AMIA (2014)
Lisiane Pruinelli, Sanjoy Dey, György J. Simon, Pranjul Yadav, Andrew Hangsleben, Katherine Hauwiller, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra
Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. AMIA (2014)
György J. Simon, Genevieve B. Melton
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.). J. Biomed. Informatics 48 (2014)
Shauna M. Overgaard, S. Charles Schulz, György J. Simon
Employment of Penalized Models to Predict Cognitive Domain Performance Using Proteomics. AMIA (2014)
Sanjoy Dey, György J. Simon, Bonnie L. Westra, Michael S. Steinbach, Vipin Kumar
Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. SDM (2014)
György J. Simon, John Schrom, Regina Castro, Peter W. Li, Pedro J. Caraballo
Survival Association Rule Mining Towards Type 2 Diabetes Risk Assessment. AMIA (2013)
John Schrom, Pedro J. Caraballo, Regina Castro, György J. Simon
Quantifying the Effect of Statin Use in Pre-Diabetic Phenotypes Discovered Through Association Rule Mining. AMIA (2013)
Sanjoy Dey, Jeremy Weed, Joanna Fakhoury, Jacob Cooner, György J. Simon, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar
Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care. AMIA (2013)
György J. Simon, Vipin Kumar, Peter W. Li
A simple statistical model and association rule filtering for classification. KDD (2011)
György J. Simon, Peter W. Li, Clifford R. Jack Jr., Prashanthi Vemuri
Understanding atrophy trajectories in alzheimer's disease using association rules on MRI images. KDD (2011)
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.
Antemortem differential diagnosis of dementia pathology using structural MRI: Differential-STAND. NeuroImage 55 (2) (2011)
György J. Simon, Vipin Kumar, Zhi-Li Zhang
Semi-supervised approach to rapid and reliable labeling of large data sets. KDD (2008)
György J. Simon, Vipin Kumar, Zhi-Li Zhang
Estimating False Negatives for Classification Problems with Cluster Structure. SDM (2007)
Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric Eilertson, Levent Ertöz, György J. Simon, Seonho Kim, Jinoh Kim
DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing. International Conference on Computational Science (1) (2007)
György J. Simon, Hui Xiong, Eric Eilertson, Vipin Kumar
Scan Detection: A Data Mining Approach. SDM (2006)
Sándor Pongor, Vesna Skerl, Miklós Cserzo, Zsolt Hátsági, György J. Simon, Valeria Bevilacqua
The SBASE protein domain library, release 2.0: a collection of annotated protein sequence segments. Nucleic Acids Res. 21 (13) (1993)