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)

Scan Detection: A Data Mining Approach. - György J. Simon; Hui Xiong 001; Eric Eilertson; Vipin Kumar 001 (SDM, 2006)

DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing. - Jon B. Weissman; Vipin Kumar 001; Varun Chandola; Eric Eilertson; Levent Ertöz; György J. Simon; Seonho Kim; Jinoh Kim (International Conference on Computational Science (1), 2007)

Estimating False Negatives for Classification Problems with Cluster Structure. - György J. Simon; Vipin Kumar 001; Zhi-Li Zhang (SDM, 2007)

Semi-supervised approach to rapid and reliable labeling of large data sets. - György J. Simon; Vipin Kumar 001; Zhi-Li Zhang (KDD, 2008)

A simple statistical model and association rule filtering for classification. - György J. Simon; Vipin Kumar 001; Peter W. Li (KDD, 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 (KDD, 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; et al. (NeuroImage, 2011)

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 001 (AMIA, 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 (AMIA, 2013)

Survival Association Rule Mining Towards Type 2 Diabetes Risk Assessment. - György J. Simon; John Schrom; Regina Castro; Peter W. Li; Pedro J. Caraballo (AMIA, 2013)

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 (AMIA, 2014)

Employment of Penalized Models to Predict Cognitive Domain Performance Using Proteomics. - Shauna M. Overgaard; S. Charles Schulz; György J. Simon (AMIA, 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 001; Connie White-Delaney; Michael S. Steinbach; Bonnie L. Westra (AMIA, 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 001 (SDM, 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)

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 001; Connie White-Delaney; Bonnie L. Westra (AMIA, 2015)

A Data Quality Ontology for the Secondary Use of EHR Data. - Steven G. Johnson; Stuart M. Speedie; György J. Simon; Vipin Kumar 001; Bonnie L. Westra (AMIA, 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 001; Connie White-Delaney; Michael S. Steinbach; Bonnie L. Westra (AMIA, 2015)

Forensic Style Analysis with Survival Trajectories. - Pranjul Yadav; Michael S. Steinbach; Lisiane Pruinelli; Bonnie L. Westra; Connie Delaney; Vipin Kumar 001; György J. Simon (ICDM, 2015)

Strategies for Handling Missing Data in Detecting Postoperative Surgical Site Infections. - Zhen Hu; Genevieve B. Melton; György J. Simon (ICHI, 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 025; Mary R. Kwaan; Genevieve B. Melton (MedInfo, 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 (MIE, 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)

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 (AMIA, 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 025; Mary R. Kwaan; Eric Jensen; György J. Simon (AMIA, 2016)

Quantifying the Effect of Data Quality on the Correctness of an eMeasure. - Steven G. Johnson; Stuart M. Speedie; György J. Simon; Vipin Kumar 001; Bonnie L. Westra (AMIA, 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 001; Connie White-Delaney; Michael S. Steinbach; Bonnie L. Westra; György J. Simon (CRI, 2016)

Clustering the Whole-Person Health Data to Predict Liver Transplant Survival. - Lisiane Pruinelli; Karen A. Monsen; György J. Simon; Bonnie L. Westra (Nursing Informatics, 2016)

Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data. - Stuart M. Speedie; György J. Simon; Vipin Kumar 001; Bonnie L. Westra; Steven G. Johnson (Appl. Clin. Inform., 2016)

Type 2 Diabetes Mellitus Trajectories and Associated Risks. - Wonsuk Oh; Era Kim; M. Regina Castro; Pedro J. Caraballo; Vipin Kumar 001; Michael S. Steinbach; György J. Simon (Big Data, 2016)

Causal Inference in Observational Data. - Pranjul Yadav; Lisiane Pruinelli; Alexander Hoff; Michael S. Steinbach; Bonnie L. Westra; Vipin Kumar 001; György J. Simon (CoRR, 2016)

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 028 (AMIA, 2017)

Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. - Wonsuk Oh; Pranjul Yadav; Vipin Kumar 001; Pedro J. Caraballo; M. Regina Castro; Michael S. Steinbach; György J. Simon (ICHI, 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 (MedInfo, 2017)

Quantifying the Effect of Data Quality on the Validity of an eMeasure. - Steven G. Johnson; Stuart M. Speedie; György J. Simon; Vipin Kumar 001; Bonnie L. Westra (Appl. Clin. Inform., 2017)

Mining Electronic Health Records: A Survey. - Pranjul Yadav; Michael S. Steinbach; Vipin Kumar 001; György J. Simon (CoRR, 2017)

Advancing Alzheimer's research: A review of big data promises. - Rui Zhang 028; György J. Simon; Fang Yu 005 (Int. J. Medical Informatics, 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 025; Mary R. Kwaan; György J. Simon (J. Biomed. Informatics, 2017)

Providers' Response to Clinical Decision Support for QT Prolonging Drugs. - Sunita Sharma 003; J. Martijn Bos; Robert F. Tarrell; György J. Simon; Bruce W. Morlan; Michael J. Ackerman; Pedro J. Caraballo (J. Medical Syst., 2017)

Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis. - Jia Li; Mengdie Wang; Michael S. Steinbach; Vipin Kumar 001; György J. Simon (ICBK, 2018)

Mining Electronic Health Records (EHRs): A Survey. - Pranjul Yadav; Michael S. Steinbach; Vipin Kumar 001; György J. Simon (ACM Comput. Surv., 2018)

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 003; Nilay D. Shah; Michael S. Steinbach; György J. Simon (AMIA, 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 (AMIA, 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 001; György J. Simon (IEEE BigData, 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 (ICHI, 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 (ICHI, 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 001; Pedro J. Caraballo; György J. Simon (MedInfo, 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 (MedInfo, 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)

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 (AIME, 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 (AIME, 2020)

Variability in General Health Status Post Liver Transplantation. - Lisiane Pruinelli; Alana Schmiesing; Michelle James; Michelle Mathianson-Moore; Jesse Schold; György J. Simon (AI4Function@IJCAI, 2020)

Teaching deep learning causal effects improves predictive performance. - Jia Li; Xiaowei Jia; Haoyu Yang; Vipin Kumar 001; Michael S. Steinbach; György J. Simon (CoRR, 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)

Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. - György J. Simon; Kevin A. Peterson; M. Regina Castro; Michael S. Steinbach; Vipin Kumar 001; Pedro J. Caraballo (BMC Medical Informatics Decis. Mak., 2020)

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 (AMIA, 2021)

Disparity in Access to Care Impacts Liver Transplant Mortality. - Danielle Lentobarros; Sarah Karp; György J. Simon; Timothy Pruett; Jesse Schold; Lisiane Pruinelli (Nursing Informatics, 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 028; et al. (J. Artif. Intell. Res., 2021)

A likelihood-based convolution approach to estimate major health events in longitudinal health records data: an external validation study. - Lisiane Pruinelli; Jiaqi Zhou 007; Bethany Stai; Jesse Schold; Timothy Pruett; Sisi Ma; György J. Simon (J. Am. Medical Informatics Assoc., 2021)

Strategies for building robust prediction models using data unavailable at prediction time. - Haoyu Yang; Roshan Tourani; Ying Zhu; Vipin Kumar 001; Genevieve B. Melton; Michael S. Steinbach; György J. Simon (J. Am. Medical Informatics Assoc., 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 001; Pedro J. Caraballo; György J. Simon (IEEE J. Biomed. Health Informatics, 2021)

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 (AMIA, 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 (AMIA, 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 (ICHI, 2022)

Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients. - Sicheng Zhou; Rui Zhang 028; Anne H. Blaes; Chetan Shenoy; György J. Simon (CoRR, 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)

Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. - Haoyu Yang; Roshan Tourani; Jia Li; Pedro J. Caraballo; Michael S. Steinbach; Vipin Kumar 001; György J. Simon (ICHI, 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 (MedInfo, 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 (MedInfo, 2023)

The Relationship Between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data. - Lisiane Pruinelli; Minh Nguyen; Nicholas Stalter; Steven G. Johnson; György J. Simon; Stuart M. Speedie; Sisi Ma (Nursing Informatics, 2024)

Consensus modeling: Safer transfer learning for small health systems. - Roshan Tourani; Dennis H. Murphree; Adam Sheka; Genevieve B. Melton; Daryl J. Kor; György J. Simon (Artif. Intell. Medicine, 2024)

Machine learning for post-liver transplant survival: Bridging the gap for long-term outcomes through temporal variation features. - Kiruthika Balakrishnan; Sawyer Olson; György J. Simon; Lisiane Pruinelli (Comput. Methods Programs Biomed., 2024)

Combining self-supervision and privileged information for representation learning from tabular data. - Haoyu Yang; Michael S. Steinbach; Genevieve B. Melton; Vipin Kumar 001; György J. Simon (Knowl. Inf. Syst., 2025)

Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review. - Lisiane Pruinelli; Kiruthika Balakrishnan; Sisi Ma; Zhigang Li; Anji Wall; Jennifer C. Lai; Jesse Schold; Timothy Pruett; György J. Simon (BMC Medical Informatics Decis. Mak., 2025)