Using Empirical orthogonal functions to identify temporally important variables to understand time-dependent pathophysiologic and phenotypic differences in patients. - David J. Albers; Jan Claassen; George Hripcsak (AMIA, 2012)

Imputation of Missing Values in Time Series with Lagged Correlations. - Shah Atiqur Rahman; Yuxiao Huang; Jan Claassen; Samantha Kleinberg (ICDM Workshops, 2014)

Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data. - Shah Atiqur Rahman; Yuxiao Huang; Jan Claassen; Nathaniel Heintzman; Samantha Kleinberg (J. Biomed. Informatics, 2015)

Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges. - David J. Albers; Matthew E. Levine; Andrew M. Stuart; Jan Claassen; Bruce J. Gluckman; George Hripcsak (AMIA, 2018)

Automated Identification of Causal Moderators in Time-Series Data. - Min Zheng 001; Jan Claassen; Samantha Kleinberg (CD@KDD, 2018)

Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. - David J. Albers; Noémie Elhadad; Jan Claassen; Rimma Perotte; Andrew Goldstein; George Hripcsak (J. Biomed. Informatics, 2018)

Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients. - Tahsin T. Yavuz; Jan Claassen; Samantha Kleinberg (AMIA, 2019)

Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting. - David J. Albers; Melike Sirlanci Tuysuzoglu; Matthew E. Levine; Caroline Der Nigoghossian; Andrew M. Stuart; Jan Claassen; Bruce J. Gluckman; George Hripcsak (AMIA, 2020)

A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning. - Ahmed Elhussein; Jude P. Savarraj; E. Sander Connolly; Murad Megjhani; Soon Bin Kwon; Angela Velazquez; Daniel Nametz; David J. Roh; Jan Claassen; Miriam Weiss; Sachin Agarwal 005; Huimahn A. Choi; et al. (BIBM, 2023)

Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. - David J. Albers; Melike Sirlanci; Matthew E. Levine; Jan Claassen; Caroline Der Nigoghossian; George Hripcsak (J. Biomed. Informatics, 2023)

A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation. - Yanran Wang; J. N. Stroh; George Hripcsak; Cecilia C. Low Wang; Tellen D. Bennett; Julia Wrobel; Caroline Der Nigoghossian; Scott W. Mueller; Jan Claassen; David J. Albers (J. Biomed. Informatics, 2023)

Causal inference for time series datasets with partially overlapping variables. - Louis Adedapo Gomez; Jan Claassen; Samantha Kleinberg (J. Biomed. Informatics, 2025)