Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model

Chae, S., Davoudi, A., Song, J., Evans, L., Hobensack, M., Bowles, K. H., McDonald, M. V., Barrón, Y., Rossetti, S. C., Cato, K., Sridharan, S., & Topaz, M. (2023). Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model. Journal of the American Medical Informatics Association, 30(10), 1622–1633. https://doi.org/10.1093/jamia/ocad129
Authors:
Sena Chae
Anahita Davoudi
Jiyoun Song
Lauren Evans
Mollie Hobensack
Kathryn H Bowles
Margaret V McDonald
Yolanda Barrón
Sarah Collins Rossetti
Kenrick Cato
Sridevi Sridharan
Maxim Topaz
Affiliated Authors:
Jiyoun Song
Mollie Hobensack
Sarah Collins Rossetti
Maxim Topaz
Columbia Affiliation:
Subjects:
Hospitalization (MeSH)
Heart Failure (MeSH)
Author Keywords:
electronic health records
heart failure
home care services
machine learning
natural language processing
nursing informatics
elink
Publication Type:
Article
Unique ID:
10.1093/jamia/ocad129
PMID:
37433577
DOI:
10.1093/jamia/ocad129
Journal:
Journal of the American Medical Informatics Association
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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Record Created: