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2020 – today
- 2023
[j4]David J. Albers
, Melike Sirlanci, Matthew E. Levine, Jan Claassen, Caroline Der Nigoghossian, George Hripcsak:
Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. J. Biomed. Informatics 145: 104477 (2023)- [j3]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:
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation. J. Biomed. Informatics 148: 104547 (2023) - [c7]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, Huimahn A. Choi, Gerrit A. Schubert, Soojin Park, Gamze Gürsoy:
A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning. BIBM 2023: 1886-1889 - 2020
- [c6]David J. Albers, Melike Sirlanci Tuysuzoglu, Matthew E. Levine, Caroline Der Nigoghossian, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak:
Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting. AMIA 2020
2010 – 2019
- 2019
- [c5]Tahsin T. Yavuz, Jan Claassen, Samantha Kleinberg:
Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients. AMIA 2019 - 2018
- [j2]David J. Albers, Noémie Elhadad, Jan Claassen, Rimma Perotte, Andrew Goldstein, George Hripcsak:
Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. J. Biomed. Informatics 78: 87-101 (2018) - [c4]David J. Albers, Matthew E. Levine, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak:
Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges. AMIA 2018 - [c3]Min Zheng, Jan Claassen, Samantha Kleinberg:
Automated Identification of Causal Moderators in Time-Series Data. CD@KDD 2018: 4-22 - 2015
- [j1]Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Nathaniel Heintzman, Samantha Kleinberg:
Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data. J. Biomed. Informatics 58: 198-207 (2015) - 2014
- [c2]Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Samantha Kleinberg:
Imputation of Missing Values in Time Series with Lagged Correlations. ICDM Workshops 2014: 753-762 - 2012
- [c1]David J. Albers, Jan Claassen, George Hripcsak:
Using Empirical orthogonal functions to identify temporally important variables to understand time-dependent pathophysiologic and phenotypic differences in patients. AMIA 2012
Coauthor Index
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