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ORCIDGyörgy J. Simon
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2020 – today
- 2024
[j20]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: 102899 (2024)- [j19]Kiruthika Balakrishnan, Sawyer Olson, György J. Simon, Lisiane Pruinelli:
Machine learning for post-liver transplant survival: Bridging the gap for long-term outcomes through temporal variation features. Comput. Methods Programs Biomed. 257: 108442 (2024) - [c48]Lisiane Pruinelli, Minh Nguyen, Nicholas Stalter, Steven G. Johnson, György J. Simon, Stuart M. Speedie, Sisi Ma:
The Relationship Between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data. Nursing Informatics 2024: 279-283 - 2023
- [c47]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: 1-11 - [c46]Jianqiu Zhang, Paul E. Drawz, György J. Simon, Terrence J. Adam, Genevieve B. Melton:
Machine Learning for Risk Prediction of Recurrent AKI in Adult Patients After Hospital Discharge. MedInfo 2023: 219-223 - [c45]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: 1378-1379 - 2022
- [j18]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): 5728-5737 (2022) - [c44]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 - [c43]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 - [c42]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: 21-26 - [i5]Sicheng Zhou, Rui Zhang, Anne H. Blaes, Chetan Shenoy, György J. Simon:
Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients. CoRR abs/2201.13036 (2022) - 2021
- [j17]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: 429-474 (2021) - [j16]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): 1885-1891 (2021) - [j15]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): 72-79 (2021) - [j14]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): 2476-2486 (2021) - [c41]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 - [c40]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: 209-214 - 2020
- [j13]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): 6 (2020) - [c39]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: 170-180 - [c38]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: 181-191 - [c37]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: 1-7 - [i4]Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon:
Teaching deep learning causal effects improves predictive performance. CoRR abs/2011.05466 (2020) - [i3]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 abs/2011.05489 (2020)
2010 – 2019
- 2019
- [j12]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): 185:1-185:12 (2019) - [c36]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 - [c35]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 - [c34]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: 1981-1990 - [c33]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: 1-8 - [c32]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: 1-5 - [c31]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: 288-292 - [c30]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: 398-402 - 2018
- [j11]Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon:
Mining Electronic Health Records (EHRs): A Survey. ACM Comput. Surv. 50(6): 85:1-85:40 (2018) - [c29]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: 415-422 - 2017
- [j10]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. 08(04): 1012-1021 (2017) - [j9]Rui Zhang, György J. Simon, Fang Yu:
Advancing Alzheimer's research: A review of big data promises. Int. J. Medical Informatics 106: 48-56 (2017) - [j8]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: 112-120 (2017) - [j7]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): 161:1-161:8 (2017) - [c28]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 - [c27]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: 374-379 - [c26]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: 955-959 - [i2]Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon:
Mining Electronic Health Records: A Survey. CoRR abs/1702.03222 (2017) - 2016
- [j6]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. 07(01): 69-88 (2016) - [j5]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): 25-30 (2016) - [c25]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 - [c24]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 - [c23]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 - [c22]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 - [c21]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: 382-386 - [i1]Pranjul Yadav, Lisiane Pruinelli, Alexander Hoff, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar, György J. Simon:
Causal Inference in Observational Data. CoRR abs/1611.04660 (2016) - 2015
- [j4]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): 130-141 (2015) - [c20]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 - [c19]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 - [c18]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 - [c17]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: 1069-1074 - [c16]Zhen Hu, Genevieve B. Melton, György J. Simon:
Strategies for Handling Missing Data in Detecting Postoperative Surgical Site Infections. ICHI 2015: 499 - [c15]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: 706-710 - [c14]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: 914-918 - 2014
- [j3]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: 16 (2014) - [c13]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 - [c12]Shauna M. Overgaard, S. Charles Schulz, György J. Simon:
Employment of Penalized Models to Predict Cognitive Domain Performance Using Proteomics. AMIA 2014 - [c11]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 - [c10]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: 1055-1063 - 2013
- [c9]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 - [c8]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 - [c7]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 - 2011
- [j2]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): 522-531 (2011) - [c6]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: 369-376 - [c5]György J. Simon, Vipin Kumar, Peter W. Li:
A simple statistical model and association rule filtering for classification. KDD 2011: 823-831
2000 – 2009
- 2008
- [c4]György J. Simon, Vipin Kumar, Zhi-Li Zhang:
Semi-supervised approach to rapid and reliable labeling of large data sets. KDD 2008: 641-649 - 2007
- [c3]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: 1222-1229 - [c2]György J. Simon, Vipin Kumar, Zhi-Li Zhang:
Estimating False Negatives for Classification Problems with Cluster Structure. SDM 2007: 599-604 - 2006
- [c1]György J. Simon, Hui Xiong, Eric Eilertson, Vipin Kumar:
Scan Detection: A Data Mining Approach. SDM 2006: 118-129
1990 – 1999
- 1993
- [j1]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): 3111-3115 (1993)
Coauthor Index
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