| Type 2 Diabetes Mellitus Trajectories and Associated Risks W Oh, E Kim, MR Castro, PJ Caraballo, V Kumar, MS Steinbach, ... Big Data 4 (1), 25-30, 2016 | 71 | 2016 |
| Estimated glomerular filtration rate, albuminuria, and adverse outcomes: an individual-participant data meta-analysis LJ Appel, M Grams, M Woodward, K Harris, H Arima, J Chalmers, ... Jama 330 (13), 1266-1277, 2023 | 45 | 2023 |
| Impact of Vaccination on Major Adverse Cardiovascular Events in Patients With COVID-19 Infection J Jiang, L Chan, J Kauffman, J Narula, AW Charney, W Oh, G Nadkarni, ... Journal of the American College of Cardiology 81 (9), 928-930, 2023 | 31 | 2023 |
| Feasibility Study of a Machine Learning Approach to Predict Dementia Progression CL Chi, W Oh, S Borson 2015 International Conference on Healthcare Informatics, 450-450, 2015 | 22 | 2015 |
| Divisive Hierarchical Clustering towards Identifying Clinically Significant Pre-Diabetes Subpopulations E Kim, W Oh, DS Pieczkiewicz, MR Castro, PJ Caraballo, GJ Simon AMIA Annual Symposium Proceedings 2014, 1815, 2014 | 19 | 2014 |
| Federated Learning in Health care Using Structured Medical Data W Oh, GN Nadkarni Advances in Kidney Disease and Health 30 (1), 4-16, 2023 | 18 | 2023 |
| Personalized long-term prediction of cognitive function: Using sequential assessments to improve model performance CL Chi, W Zeng, W Oh, S Borson, T Lenskaia, X Shen, PJ Tonellato Journal of biomedical informatics 76, 78-86, 2017 | 10 | 2017 |
| A computational method for learning disease trajectories from partially observable EHR data W Oh, MS Steinbach, MR Castro, KA Peterson, V Kumar, PJ Caraballo, ... IEEE Journal of Biomedical and Health Informatics 25 (7), 2476-2486, 2021 | 8 | 2021 |
| Joint Modeling of Clinical and Biomarker Data in Acute Kidney Injury Defines Unique Subphenotypes with Differing Outcomes G Vasquez-Rios, W Oh, S Lee, P Bhatraju, SG Mansour, DG Moledina, ... Clinical Journal of the American Society of Nephrology 18 (6), 716-726, 2023 | 7 | 2023 |
| Using sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unit W Oh, P Jayaraman, AS Sawant, L Chan, MA Levin, AW Charney, ... Journal of the American Medical Informatics Association 29 (3), 489-499, 2022 | 5 | 2022 |
| Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks. W Oh, MS Steinbach, MR Castro, KA Peterson, V Kumar, PJ Caraballo, ... Studies in health technology and informatics 264, 288-292, 2019 | 4 | 2019 |
| Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks W Oh, P Yadav, V Kumar, PJ Caraballo, MR Castro, MS Steinbach, ... 2017 IEEE International Conference on Healthcare Informatics (ICHI), 374-379, 2017 | 3 | 2017 |
| Discrepancy between predicted and measured exercise intensity for eliciting the maximal rate of lipid oxidation HD Kittrell, FJ DiMenna, AD Arad, W Oh, I Hofer, RW Walker, RJF Loos, ... Nutrition, Metabolism and Cardiovascular Diseases 33 (11), 2189-2198, 2023 | 2 | 2023 |
| High physical activity alleviates the adverse effect of higher sedentary time on the incidence of chronic kidney disease W Oh, M Cho, SW Jung, JY Moon, SH Lee, YC Hwang, YG Kim Journal of Cachexia, Sarcopenia and Muscle 14 (1), 622-631, 2023 | 2 | 2023 |
| Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis K Takkavatakarn, W Oh, L Chan, I Hofer, K Shawwa, M Kraft, N Shah, ... Critical Care 28 (1), 156, 2024 | 1 | 2024 |
| A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19 W Oh, P Jayaraman, P Tandon, US Chaddha, P Kovatch, AW Charney, ... Artificial Intelligence in Medicine 148, 102750, 2024 | 1 | 2024 |
| Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4 K Takkavatakarn, W Oh, E Cheng, GN Nadkarni, L Chan BMC nephrology 24 (1), 376, 2023 | 1 | 2023 |
| Joint Modeling of Social Determinants and Clinical Factors to Define Subphenotypes in Out-of-Hospital Cardiac Arrest Survival: Cluster Analysis EE Abbott, W Oh, Y Dai, C Feuer, L Chan, BG Carr, GN Nadkarni JMIR aging 6 (1), e51844, 2023 | 1 | 2023 |
| Molecular and clinical signatures in Acute Kidney Injury define distinct subphenotypes that associate with death, kidney, and cardiovascular events G Vasquez-Rios, W Oh, S Lee, P Bhatraju, SG Mansour, DG Moledina, ... medRxiv, 2021.12. 14.21267738, 2021 | 1 | 2021 |
| Incremental Effect of Aging on Obesity-Related Incident Chronic Kidney Disease in the Korean General Population SW Jung, M Cho, W Oh, GJ Ko, JY Moon, SH Lee, YG Kim Journal of the American Medical Directors Association 22 (8), 1751-1756. e2, 2021 | 1 | 2021 |
Gyorgy SimonMayo Clinic, University of Minnesota在 umn.edu 的电子邮件经过验证
