Classification and Regression Trees on Aggregate Data Modeling: An Application in Acute Myocardial Infarction
Cardiologists are interested in determining whether the type of hospital pathway followed by a patient is predictive of survival. The study objective was to determine whether accounting for hospital pathways in the selection of prognostic factors of one-year survival after acute myocardial infarctio...
Saved in:
Main Authors: | C. Quantin, L. Billard, M. Touati, N. Andreu, Y. Cottin, M. Zeller, F. Afonso, G. Battaglia, D. Seck, G. Le Teuff, E. Diday |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2011-01-01
|
Series: | Journal of Probability and Statistics |
Online Access: | http://dx.doi.org/10.1155/2011/523937 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
New Clinical Classification for Ventricular Free Wall Rupture following Acute Myocardial Infarction
by: Wei Gong, et al.
Published: (2021-01-01) -
Own experience of the surgical treatment of acute myocardial infarction
by: A.G. Bitsadze
Published: (2017-12-01) -
Myocardial Infarction due to Endocarditis
by: Jaya D. Bathina, et al.
Published: (2011-01-01) -
Myocardial Infarction-Associated Shock: A Comprehensive Analysis of Phenotypes, SCAI Classification, and Outcome Assessment
by: Stanislav Dil, et al.
Published: (2025-01-01) -
Classification and Regression Trees analysis identifies patients at high risk for kidney function decline following hospitalization.
by: Weihao Wang, et al.
Published: (2025-01-01)