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

Albers, D., Sirlanci, M., Levine, M., Claassen, J., Nigoghossian, C. D., & Hripcsak, G. (2023). Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. Journal of Biomedical Informatics, 145, 104477. https://doi.org/10.1016/j.jbi.2023.104477
Authors:
David Albers
Melike Sirlanci
Matthew Levine
Jan Claassen
Caroline Der Nigoghossian
George Hripcsak
Affiliated Authors:
David Albers
Jan Claassen
Caroline Der Nigoghossian
George Hripcsak
Columbia Affiliation:
Subjects:
Blood Glucose (MeSH)
Electronic Health Records (MeSH)
Author Keywords:
constrained ensemble kalman filter
data assimilation
electronic health record data
glucose–insulin
mathematical physiological model
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Publication Type:
Article
Unique ID:
10.1016/j.jbi.2023.104477
PMID:
37604272
DOI:
10.1016/j.jbi.2023.104477
Journal:
Journal of Biomedical Informatics
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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