Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events

Fu, L.-H., Knaplund, C., Cato, K., Perotte, A., Kang, M.-J., Dykes, P. C., Albers, D., & Collins Rossetti, S. (2021). Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. Journal of the American Medical Informatics Association, 28(9), 1955–1963. https://doi.org/10.1093/jamia/ocab111
Authors:
Li-Heng Fu
Chris Knaplund
Kenrick Cato
Adler Perotte
Min-Jeoung Kang
Patricia C Dykes
David Albers
Sarah Collins Rossetti
Affiliated Authors:
Li-Heng Fu
Chris Knaplund
Kenrick Cato
Adler Perotte
David Albers
Sarah Collins Rossetti
Columbia Affiliation:
Author Keywords:
clinical informatics
early warning scores, machine learning
electronic health records
predictive modeling
elink
Publication Type:
Article
Unique ID:
10.1093/jamia/ocab111
PMID:
34270710
DOI:
10.1093/jamia/ocab111
Journal:
Journal of the American Medical Informatics Association
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record

Record Created: