A machine learning approach to identifying delirium from electronic health records

Kim, J. H., Hua, M., Whittington, R. A., Lee, J., Liu, C., Ta, C. N., Marcantonio, E. R., Goldberg, T. E., & Weng, C. (2022). A machine learning approach to identifying delirium from electronic health records. JAMIA Open, 5(2). https://doi.org/10.1093/jamiaopen/ooac042
Authors:
Jae Hyun Kim
May Hua
Robert A. Whittington
Junghwan Lee
Cong Liu
Casey N. Ta
Edward R. Marcantonio
Terry E. Goldberg
Chunhua Weng
Affiliated Authors:
Jae Hyun Kim
May Hua
Robert A. Whittington
Junghwan Lee
Cong Liu
Casey N. Ta
Terry E. Goldberg
Chunhua Weng
Columbia Affiliation:
Subjects:
Management of Delirium in Critical Care Patients (OpenAlex Topic)
Brain-Computer Interfaces in Neuroscience and Medicine (OpenAlex Topic)
Diagnosis and Management of Alzheimer's Disease (OpenAlex Topic)
Author Keywords:
delirium
confusion assessment method for the intensive care unit (cam-icu)
electronic health records
logistic regression
machine learning model
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Publication Type:
Article
Unique ID:
10.1093/jamiaopen/ooac042
DOI:
10.1093/jamiaopen/ooac042
Journal:
JAMIA Open
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
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Record Created: