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Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data.

D. Albers, M. Sirlanci, M. Levine, J. Claassen, C. Nigoghossian, and G. Hripcsak. J. Biomed. Informatics, (September 2023)

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Jan Claassen

Hans Claaßen

Horst Claassen

Norbert Claassen

Sonja Claassen

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Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms.D. Albers, N. Elhadad, J. Claassen, R. Perotte, A. Goldstein, and G. Hripcsak. J. Biomed. Informatics, (2018)Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data.S. Rahman, Y. Huang, J. Claassen, N. Heintzman, and S. Kleinberg. J. Biomed. Informatics, (2015)Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data.D. Albers, M. Sirlanci, M. Levine, J. Claassen, C. Nigoghossian, and G. Hripcsak. J. Biomed. Informatics, (September 2023)Automated Identification of Causal Moderators in Time-Series Data.M. Zheng, J. Claassen, and S. Kleinberg. CD@KDD, volume 92 of Proceedings of Machine Learning Research, page 4-22. PMLR, (2018)A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation.Y. Wang, J. Stroh, G. Hripcsak, C. Wang, T. Bennett, J. Wrobel, C. Nigoghossian, S. Mueller, J. Claassen, and D. Albers. J. Biomed. Informatics, (December 2023)Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting.D. Albers, M. Tuysuzoglu, M. Levine, C. Nigoghossian, A. Stuart, J. Claassen, B. Gluckman, and G. Hripcsak. AMIA, AMIA, (2020)Imputation of Missing Values in Time Series with Lagged Correlations.S. Rahman, Y. Huang, J. Claassen, and S. Kleinberg. ICDM Workshops, page 753-762. IEEE Computer Society, (2014)A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning.A. Elhussein, J. Savarraj, E. Connolly, M. Megjhani, S. Kwon, A. Velazquez, D. Nametz, D. Roh, J. Claassen, M. Weiss and 5 other author(s). BIBM, page 1886-1889. IEEE, (2023)Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients.T. Yavuz, J. Claassen, and S. Kleinberg. AMIA, AMIA, (2019)Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges.D. Albers, M. Levine, A. Stuart, J. Claassen, B. Gluckman, and G. Hripcsak. AMIA, AMIA, (2018)

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Disambiguation of "Claassen, Jan"

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Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data.

Please choose a person to relate this publication to

Jan Claassen

Hans Claaßen

Horst Claassen

Norbert Claassen

Sonja Claassen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Claassen, Jan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data.

Please choose a person to relate this publication to

Jan Claassen

Hans Claaßen

Horst Claassen

Norbert Claassen

Sonja Claassen

Other publications of authors with the same name

Disambiguation

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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data.