Park, Rae Woong

Characterizing treatment pathways at scale using the OHDSI network

Hripcsak, G., Ryan, P. B., Duke, J. D., Shah, N. H., Park, R. W., Huser, V., Suchard, M. A., Schuemie, M. J., DeFalco, F. J., Perotte, A., et al. (2016) · Proceedings of the National Academy of Sciences

Medical Coding and Health InformationMachine Learning in Healthcare

Cited by 326

Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study

Lane, J. C. E., Weaver, J., Kostka, K., Duarte-Salles, T., Abrahao, M. T. F., Alghoul, H., Alser, O., Alshammari, T. M., Biedermann, P., Banda, J. M., et al. (2020) · The Lancet Rheumatology

Rheumatoid Arthritis Research and TherapiesPharmacovigilance and Adverse Drug Reactions

Cited by 258

A comparison of intensive care unit mortality prediction models through the use of data mining techniques.

Kim, S., Kim, W., & Park, R. W. (2011) · Healthcare Informatics Research

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 132

Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study

An, M. H., You, S. C., Park, R. W., & Lee, S. (2021) · JMIR Medical Informatics

Telemedicine and Telehealth ImplementationTechnology Adoption and User Behaviour

Cited by 84

Association of Hemoglobin A 1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics Initiative

Vashisht, R., Jung, K., Schuler, A., Banda, J. M., Park, R. W., Jin, S., Li, L., Dudley, J. T., Johnson, K. W., Shervey, M. M., et al. (2018) · JAMA Network Open

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 61

Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: Validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation

Reps, J. M., Williams, R. D., You, S. C., Falconer, T., Minty, E., Callahan, A., Ryan, P. B., Park, R. W., Lim, H.-S., & Rijnbeek, P. (2020) · BMC Medical Research Methodology

Atrial Fibrillation Management and OutcomesMachine Learning in Healthcare

Cited by 40

Electrocardiographic Biomarker Based on Machine Learning for Detecting Overt Hyperthyroidism

Choi, B., Jang, J. H., Son, M., Lee, M. S., Jo, Y. Y., Jeon, J. Y., Jin, U., Soh, M., Park, R. W., & Kwon, J. M. (2022) · European Heart Journal - Digital Health

ECG Monitoring and AnalysisThyroid Disorders and Treatments

Cited by 12