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Chungsoo Kim
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2020 – today
- 2023
- [j3]Anna Ostropolets, Yasser Albogami, Mitchell Conover, Juan M. Banda, William A. Baumgartner Jr., Clair Blacketer, Priyamvada Desai, Scott L. DuVall, Stephen P. Fortin, James P. Gilbert, Asieh Golozar, Joshua Ide, Andrew S. Kanter, David M. Kern, Chungsoo Kim, Lana Y. H. Lai, Chenyu Li, Feifan Liu, Kristine E. Lynch, Evan Minty, Maria Inês Neves, Ding Quan Ng, Tontel Obene, Victor Pera, Nicole Pratt, Gowtham Rao, Nadav Rappoport, Ines Reinecke, Paola Saroufim, Azza Shoaibi, Katherine Simon, Marc A. Suchard, Joel N. Swerdel, Erica A. Voss, James Weaver, Linying Zhang, George Hripcsak, Patrick B. Ryan:
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. J. Am. Medical Informatics Assoc. 30(5): 859-868 (2023) - [c3]Sujin Gan, Chungsoo Kim, Dong Yun Lee, Rae Woong Park:
Prediction Models for Readmission Using Home Healthcare Notes and OMOP-CDM. MedInfo 2023: 1438-1439 - [c2]Junhyuk Chang, Jimyung Park, Chungsoo Kim, Rae Woong Park:
A De-Identification Model for Korean Clinical Notes: Using Deep Learning Models. MedInfo 2023: 1456-1457 - [c1]Soobeen Seol, Jimyung Park, Chungsoo Kim, Dong Yun Lee, Rae Woong Park:
RHEA: Real-World Observational Health Data Exploration Application. MedInfo 2023: 1474-1475 - 2021
- [j2]Sara Khalid, Cynthia Yang, Clair Blacketer, Talita Duarte-Salles, Sergio Fernández-Bertolín, Chungsoo Kim, Rae Woong Park, Jimyung Park, Martijn J. Schuemie, Anthony G. Sena, Marc A. Suchard, Seng Chan You, Peter R. Rijnbeek, Jenna Marie Reps:
A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data. Comput. Methods Programs Biomed. 211: 106394 (2021) - [j1]Chungsoo Kim, Seng Chan You, Jenna Marie Reps, Jae Youn Cheong, Rae Woong Park:
Machine-learning model to predict the cause of death using a stacking ensemble method for observational data. J. Am. Medical Informatics Assoc. 28(6): 1098-1107 (2021)
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