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)

Feasibility Study of a Machine Learning Approach to Predict Dementia Progression. - Chih-Lin Chi; Wonsuk Oh; Soo Borson (ICHI, 2015)

Explore Feasibility of Personalized Algorithms to Predict Long-Term Cognitive Changes and Optimize Dementia Outcomes. - Chih-Lin Chi; Wonsuk Oh; Soo Borson (CRI, 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)

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)

Personalized long-term prediction of cognitive function: Using sequential assessments to improve model performance. - Chih-Lin Chi; Wenjun Zeng 001; Wonsuk Oh; Soo Borson; Tatiana Lenskaia; Xinpeng Shen; Peter J. Tonellato (J. Biomed. Informatics, 2017)

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)

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)

A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19. - Wonsuk Oh; Pushkala Jayaraman; Pranai Tandon; Udit S. Chaddha; Patricia H. Kovatch; Alexander W. Charney; Benjamin S. Glicksberg; Girish N. Nadkarni (Artif. Intell. Medicine, 2024)