György J. Simon

76 papers A* 5A 3B 2Misc 19Journal 27Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Combining self-supervision and privileged information for representation learning from tabular data. Knowl. Inf. Syst. Haoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar, György J. Simon
2025	J	`jnl`	Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review. BMC Medical Informatics Decis. Mak. Lisiane Pruinelli, Kiruthika Balakrishnan, Sisi Ma, Zhigang Li, Anji Wall, Jennifer C. Lai, Jesse Schold, Timothy Pruett, György J. Simon
2024	A*	`conf`	Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data. ICDM Haoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar, György J. Simon
2024	J	`jnl`	Consensus modeling: Safer transfer learning for small health systems. Artif. Intell. Medicine Roshan Tourani, Dennis H. Murphree, Adam Sheka, Genevieve B. Melton, Daryl J. Kor, György J. Simon
2024	J	`jnl`	Machine learning for post-liver transplant survival: Bridging the gap for long-term outcomes through temporal variation features. Comput. Methods Programs Biomed. Kiruthika Balakrishnan, Sawyer Olson, György J. Simon, Lisiane Pruinelli
2024	—	`conf`	The Relationship Between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data. Nursing Informatics Lisiane Pruinelli, Minh Nguyen, Nicholas Stalter, Steven G. Johnson, György J. Simon, Stuart M. Speedie, Sisi Ma
2023	—	`conf`	Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. ICHI Haoyu Yang, Roshan Tourani, Jia Li, Pedro J. Caraballo, Michael S. Steinbach, Vipin Kumar, György J. Simon
2023	—	`conf`	Decision Support System Detecting Patients at Risk of Prolonged QT and Associated Mortality. MedInfo Pedro J. Caraballo, Johan M. Bos, Ray Qian, Karen M. Fischer, Paul J. Johnsen, Diana J. Schreie, György J. Simon, Michael J. Ackerman
2023	—	`conf`	Machine Learning for Risk Prediction of Recurrent AKI in Adult Patients After Hospital Discharge. MedInfo Jianqiu Zhang, Paul E. Drawz, György J. Simon, Terrence J. Adam, Genevieve B. Melton
2022	—	`conf`	A novel method for handling Missing Not at Random Data in the electronic health records. ICHI Xinpeng Shen, Sisi Ma, Pedro J. Caraballo, Prashanthi Vemuri, György J. Simon
2022	Misc	`conf`	Application of Causal Discovery Algorithms in Studying the Nephrotoxicity of Remdesivir Using Longitudinal Data from the EHR. AMIA Jianqiu Zhang, Erich Kummerfeld, Gretchen M. Hultman, Paul E. Drawz, Terrence Adams, György J. Simon, Genevieve B. Melton
2022	Misc	`conf`	Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients Using Electronic Health Record. AMIA Sicheng Zhou, Rui Zhang, Xinpeng Shen, Chetan Shenoy, Anne H. Blaes, György J. Simon
2022	J	`jnl`	Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients. CoRR Sicheng Zhou, Rui Zhang, Anne H. Blaes, Chetan Shenoy, György J. Simon
2022	J	`jnl`	Robust Methods for Quantifying the Effect of a Continuous Exposure From Observational Data. IEEE J. Biomed. Health Informatics Roshan Tourani, Sisi Ma, Michael Usher, György J. Simon
2021	J	`jnl`	A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. IEEE J. Biomed. Health Informatics Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon
2021	J	`jnl`	A likelihood-based convolution approach to estimate major health events in longitudinal health records data: an external validation study. J. Am. Medical Informatics Assoc. Lisiane Pruinelli, Jiaqi Zhou, Bethany Stai, Jesse Schold, Timothy Pruett, Sisi Ma, György J. Simon
2021	—	`conf`	Disparity in Access to Care Impacts Liver Transplant Mortality. Nursing Informatics Danielle Lentobarros, Sarah Karp, György J. Simon, Timothy Pruett, Jesse Schold, Lisiane Pruinelli
2021	J	`jnl`	NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models. J. Artif. Intell. Res. 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
2021	J	`jnl`	Strategies for building robust prediction models using data unavailable at prediction time. J. Am. Medical Informatics Assoc. Haoyu Yang, Roshan Tourani, Ying Zhu, Vipin Kumar, Genevieve B. Melton, Michael S. Steinbach, György J. Simon
2021	Misc	`conf`	Validation of Administrative Coding and Clinical Notes for Hospital-Acquired Acute Kidney Injury in Adults. AMIA Jianqiu Zhang, Paul E. Drawz, Ying Zhu, Gretchen M. Hultman, György J. Simon, Genevieve B. Melton
2020	J	`jnl`	A novel method for Causal Structure Discovery from EHR data, a demonstration on type-2 diabetes mellitus. CoRR Xinpeng Shen, Sisi Ma, Prashanthi Vemuri, M. Regina Castro, Pedro J. Caraballo, György J. Simon
2020	B	`conf`	Consensus Modeling: A Transfer Learning Approach for Small Health Systems. AIME Roshan Tourani, Dennis H. Murphree, Ying Zhu, Adam Sheka, Genevieve B. Melton, Daryl J. Kor, György J. Simon
2020	B	`conf`	Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are Scarce. AIME Ying Zhu, Roshan Tourani, Adam Sheka, Elizabeth C. Wick, Genevieve B. Melton, György J. Simon
2020	J	`jnl`	Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. BMC Medical Informatics Decis. Mak. György J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar, Pedro J. Caraballo
2020	J	`jnl`	Teaching deep learning causal effects improves predictive performance. CoRR Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon
2020	—	`conf`	Variability in General Health Status Post Liver Transplantation. AI4Function@IJCAI Lisiane Pruinelli, Alana Schmiesing, Michelle James, Michelle Mathianson-Moore, Jesse Schold, György J. Simon
2019	—	`conf`	A Likelihood-based Convolution Approach to Estimate Event Occurrences in Large Longitudinal Incomplete Clinical Data. ICHI Lisiane Pruinelli, Bethany Stai, Sisi Ma, Timothy Pruett, György J. Simon
2019	—	`conf`	A Multi-Dimensional General Health Status Concept to Predict Liver Transplant Mortality. ICHI Lisiane Pruinelli, Bonnie L. Westra, Timothy Pruett, Karen A. Monsen, Cynthia R. Gross, David R. Radosevich, Sisi Ma, György J. Simon
2019	Misc	`conf`	A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. AMIA Che Ngufor, Pedro J. Caraballo, Thomas J. O'Byrne, David Chen, Nilay D. Shah, Michael S. Steinbach, György J. Simon
2019	—	`conf`	Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks. MedInfo Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon
2019	—	`conf`	Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. IEEE BigData Pranjul Yadav, Michael S. Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, György J. Simon
2019	—	`conf`	The Value of Aggregated High-Resolution Intraoperative Data for Predicting Post-Surgical Infectious Complications at Two Independent Sites. MedInfo Roshan Tourani, Dennis H. Murphree, Genevieve Melton-Meaux, Elizabeth C. Wick, Daryl J. Kor, György J. Simon
2019	J	`jnl`	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. Era Kim, Pedro J. Caraballo, M. Regina Castro, David S. Pieczkiewicz, György J. Simon
2019	Misc	`conf`	Using Electronic Health Record Data to Identify Patients with Prediabetes. AMIA Thomas J. O'Byrne, M. Regina Castro, Che Ngufor, György J. Simon, Pedro J. Caraballo
2018	—	`conf`	Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis. ICBK Jia Li, Mengdie Wang, Michael S. Steinbach, Vipin Kumar, György J. Simon
2018	J	`jnl`	Mining Electronic Health Records (EHRs): A Survey. ACM Comput. Surv. Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
2017	J	`jnl`	Advancing Alzheimer's research: A review of big data promises. Int. J. Medical Informatics Rui Zhang, György J. Simon, Fang Yu
2017	Misc	`conf`	Causal Phenotyping for Susceptibility to Cardiotoxicity from Antineoplastic Breast Cancer Medications. AMIA Deyu Sun, György J. Simon, Steven J. Skube, Anne H. Blaes, Genevieve B. Melton, Rui Zhang
2017	—	`conf`	Characterizing Surgical Site Infection Signals in Clinical Notes. MedInfo Steven J. Skube, Zhen Hu, Elliot G. Arsoniadis, György J. Simon, Elizabeth C. Wick, Clifford Y. Ko, Genevieve B. Melton
2017	—	`conf`	Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. ICHI Wonsuk Oh, Pranjul Yadav, Vipin Kumar, Pedro J. Caraballo, M. Regina Castro, Michael S. Steinbach, György J. Simon
2017	J	`jnl`	Mining Electronic Health Records: A Survey. CoRR Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
2017	J	`jnl`	Providers' Response to Clinical Decision Support for QT Prolonging Drugs. J. Medical Syst. Sunita Sharma, J. Martijn Bos, Robert F. Tarrell, György J. Simon, Bruce W. Morlan, Michael J. Ackerman, Pedro J. Caraballo
2017	J	`jnl`	Quantifying the Effect of Data Quality on the Validity of an eMeasure. Appl. Clin. Inform. Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
2017	J	`jnl`	Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record. J. Biomed. Informatics Zhen Hu, Genevieve B. Melton, Elliot G. Arsoniadis, Yan Wang, Mary R. Kwaan, György J. Simon
2016	—	`conf`	A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications. CRI 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
2016	Misc	`conf`	Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications. AMIA Zhen Hu, Genevieve B. Melton, Nathan D. Moeller, Elliot G. Arsoniadis, Yan Wang, Mary R. Kwaan, Eric Jensen, György J. Simon
2016	J	`jnl`	Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data. Appl. Clin. Inform. Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra, Steven G. Johnson
2016	J	`jnl`	Causal Inference in Observational Data. CoRR Pranjul Yadav, Lisiane Pruinelli, Alexander Hoff, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar, György J. Simon
2016	Misc	`conf`	Clinical Decision Support to Detect High Risk Patients with QTc Prolongation. AMIA Christopher A. Aakre, J. Martijn Bos, György J. Simon, Robert F. Tarrell, Michael J. Ackerman, Pedro J. Caraballo
2016	—	`conf`	Clustering the Whole-Person Health Data to Predict Liver Transplant Survival. Nursing Informatics Lisiane Pruinelli, Karen A. Monsen, György J. Simon, Bonnie L. Westra
2016	Misc	`conf`	Quantifying the Effect of Data Quality on the Correctness of an eMeasure. AMIA Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
2016	J	`jnl`	Type 2 Diabetes Mellitus Trajectories and Associated Risks. Big Data Wonsuk Oh, Era Kim, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, Michael S. Steinbach, György J. Simon
2015	Misc	`conf`	A Data Quality Ontology for the Secondary Use of EHR Data. AMIA Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
2015	—	`conf`	Automated Detection of Postoperative Surgical Site Infections Using Supervised Methods with Electronic Health Record Data. MedInfo Zhen Hu, György J. Simon, Elliot G. Arsoniadis, Yan Wang, Mary R. Kwaan, Genevieve B. Melton
2015	Misc	`conf`	Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. AMIA 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
2015	J	`jnl`	Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus. IEEE Trans. Knowl. Data Eng. György J. Simon, Pedro J. Caraballo, Terry M. Therneau, Steven S. Cha, M. Regina Castro, Peter W. Li
2015	A*	`conf`	Forensic Style Analysis with Survival Trajectories. ICDM Pranjul Yadav, Michael S. Steinbach, Lisiane Pruinelli, Bonnie L. Westra, Connie Delaney, Vipin Kumar, György J. Simon
2015	Misc	`conf`	Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. AMIA Sanjoy Dey, Katherine Hauwiller, Pranjul Yadav, Michael S. Steinbach, György J. Simon, Vipin Kumar, Connie White-Delaney, Bonnie L. Westra
2015	—	`conf`	Strategies for Handling Missing Data in Detecting Postoperative Surgical Site Infections. ICHI Zhen Hu, Genevieve B. Melton, György J. Simon
2015	—	`conf`	Using EHR-Linked Biobank Data to Study Metformin Pharmacogenomics. MIE Matthew K. Breitenstein, György J. Simon, Euijung Ryu, Sebastian M. Armasu, Richard M. Weinshilboum, Liewei Wang, Jyotishman Pathak
2014	J	`jnl`	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 György J. Simon, Genevieve B. Melton
2014	Misc	`conf`	Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. AMIA Lisiane Pruinelli, Sanjoy Dey, György J. Simon, Pranjul Yadav, Andrew Hangsleben, Katherine Hauwiller, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra
2014	Misc	`conf`	Divisive Hierarchical Clustering towards Identifying Clinically Significant Pre-Diabetes Subpopulations. AMIA Era Kim, Wonsuk Oh, David S. Pieczkiewicz, M. Regina Castro, Pedro J. Caraballo, György J. Simon
2014	Misc	`conf`	Employment of Penalized Models to Predict Cognitive Domain Performance Using Proteomics. AMIA Shauna M. Overgaard, S. Charles Schulz, György J. Simon
2014	A	`conf`	Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. SDM Sanjoy Dey, György J. Simon, Bonnie L. Westra, Michael S. Steinbach, Vipin Kumar
2013	Misc	`conf`	Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care. AMIA Sanjoy Dey, Jeremy Weed, Joanna Fakhoury, Jacob Cooner, György J. Simon, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar
2013	Misc	`conf`	Quantifying the Effect of Statin Use in Pre-Diabetic Phenotypes Discovered Through Association Rule Mining. AMIA John Schrom, Pedro J. Caraballo, Regina Castro, György J. Simon
2013	Misc	`conf`	Survival Association Rule Mining Towards Type 2 Diabetes Risk Assessment. AMIA György J. Simon, John Schrom, Regina Castro, Peter W. Li, Pedro J. Caraballo
2011	A*	`conf`	A simple statistical model and association rule filtering for classification. KDD György J. Simon, Vipin Kumar, Peter W. Li
2011	J	`jnl`	Antemortem differential diagnosis of dementia pathology using structural MRI: Differential-STAND. NeuroImage 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.
2011	A*	`conf`	Understanding atrophy trajectories in alzheimer's disease using association rules on MRI images. KDD György J. Simon, Peter W. Li, Clifford R. Jack Jr., Prashanthi Vemuri
2008	A*	`conf`	Semi-supervised approach to rapid and reliable labeling of large data sets. KDD György J. Simon, Vipin Kumar, Zhi-Li Zhang
2007	Misc	`conf`	DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing. International Conference on Computational Science (1) Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric Eilertson, Levent Ertöz, György J. Simon, Seonho Kim, Jinoh Kim
2007	A	`conf`	Estimating False Negatives for Classification Problems with Cluster Structure. SDM György J. Simon, Vipin Kumar, Zhi-Li Zhang
2006	A	`conf`	Scan Detection: A Data Mining Approach. SDM György J. Simon, Hui Xiong, Eric Eilertson, Vipin Kumar
1993	J	`jnl`	The SBASE protein domain library, release 2.0: a collection of annotated protein sequence segments. Nucleic Acids Res. Sándor Pongor, Vesna Skerl, Miklós Cserzo, Zsolt Hátsági, György J. Simon, Valeria Bevilacqua