Neural networks versus Logistic regression for 30 days all-cause readmission prediction
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Neural networks versus Logistic regression for 30 days all-cause readmission prediction ; volume:9 ; number:1 ; day:26 ; month:6 ; year:2019 ; pages:1-11 ; date:12.2019
Scientific reports ; 9, Heft 1 (26.6.2019), 1-11, 12.2019
- Creator
-
Allam, Ahmed
Nagy, Mate
Thoma, George
Krauthammer, Michael
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-019-45685-z
- URN
-
urn:nbn:de:101:1-2019091209084016934901
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:20 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Allam, Ahmed
- Nagy, Mate
- Thoma, George
- Krauthammer, Michael
- SpringerLink (Online service)
Other Objects (12)
Logistic Regression in Datastreams
Robust functional logistic regression
Logistic regression applied to natural hazards: rare event logistic regression with replications
Measuring overlap in logistic regression
The Origins of Logistic Regression
The hidden logistic regression model
Privacy-preserving logistic regression training
Measuring overlap in logistic regression
The hidden logistic regression model
Logistic Regression for Prospectivity Modeling
Logistic regression for potential modeling
Logistic regression : a self-learning text
Logistic Regression in Datastreams
Robust functional logistic regression
Logistic regression applied to natural hazards: rare event logistic regression with replications
Measuring overlap in logistic regression
The Origins of Logistic Regression
The hidden logistic regression model
Privacy-preserving logistic regression training
Measuring overlap in logistic regression
The hidden logistic regression model
Logistic Regression for Prospectivity Modeling
Logistic regression for potential modeling
Logistic regression : a self-learning text
Logistic Regression in Datastreams
Robust functional logistic regression
Logistic regression applied to natural hazards: rare event logistic regression with replications
Measuring overlap in logistic regression
The Origins of Logistic Regression
The hidden logistic regression model
Privacy-preserving logistic regression training
Measuring overlap in logistic regression
The hidden logistic regression model
Logistic Regression for Prospectivity Modeling
Logistic regression for potential modeling