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 methodology of phenotyping ICU patients: high-fidelity, personalized, and interpretable phenotypes estimation. - Yanran Wang; J. N. Stroh; George Hripcsak; Cecilia C. Low Wang; Julia Wrobel; Caroline Der Nigoghossian; Tellen D. Bennett; David J. Albers (AMIA, 2022)

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)