Using machine-learning methods to predict in-hospital mortality through the Elixhauser index: A Medicare data analysis

Liu, J., Glied, S., Yakusheva, O., Bevin, C., Schlak, A. E., Yoon, S., Kulage, K. M., & Poghosyan, L. (2023). Using machine‐learning methods to predict in‐hospital mortality through the Elixhauser index: A Medicare data analysis. Research in Nursing & Health, 46(4), 411–424. Portico. https://doi.org/10.1002/nur.22322
Authors:
Jianfang Liu
Sherry Glied
Olga Yakusheva
Cohen Bevin
Amelia E Schlak
Sunmoo Yoon
Kristine M Kulage
Lusine Poghosyan
Affiliated Authors:
Jianfang Liu
Sunmoo Yoon
Kristine M Kulage
Lusine Poghosyan
Columbia Affiliation:
Subjects:
Medicare (MeSH)
Hospitalization (MeSH)
Author Keywords:
artificial neural network
elastic net model
elixhauser index
in-hospital mortality
present-on- admission
elink
Publication Type:
Article
Unique ID:
10.1002/nur.22322
PMID:
37221452
DOI:
10.1002/nur.22322
Journal:
Research in Nursing and Health
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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