A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation

Wang, Y., Stroh, J. N., Hripcsak, G., Low Wang, C. C., Bennett, T. D., Wrobel, J., Der Nigoghossian, C., Mueller, S. W., Claassen, J., & Albers, D. J. (2023). A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation. Journal of Biomedical Informatics, 148, 104547. https://doi.org/10.1016/j.jbi.2023.104547
Authors:
Yanran Wang
J N Stroh
George Hripcsak
Cecilia C Low Wang
Tellen D Bennett
Julia Wrobel
Caroline Der Nigoghossian
Scott W Mueller
Jan Claassen
D J Albers
Affiliated Authors:
George Hripcsak
Caroline Der Nigoghossian
Jan Claassen
D J Albers
Columbia Affiliation:
Subjects:
Algorithms (MeSH)
Electronic Health Records (MeSH)
Author Keywords:
data assimilation
data mining
electronic health record
knowledge representation with machine learning
phenotyping
physiological modeling
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Publication Type:
Article
Unique ID:
10.1016/j.jbi.2023.104547
PMID:
37984547
DOI:
10.1016/j.jbi.2023.104547
Journal:
Journal of Biomedical Informatics
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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