A Decision Support Tool for Predicting Patients at Risk of Readmission: A Comparison of Classification Trees, Logistic Regression, Generalized Additive Models, and Multivariate Adaptive Regression Splines-Reference-Cited by-同舟云学术

A Decision Support Tool for Predicting Patients at Risk of Readmission: A Comparison of Classification Trees, Logistic Regression, Generalized Additive Models, and Multivariate Adaptive Regression Splines

Published:2014-10 Issue:5 Volume:45 Page:849-880
ISSN:0011-7315
Container-title:Decision Sciences
language:en
Short-container-title:Decision Sciences

Author:

Demir Eren¹

Affiliation:

1. Department of Marketing & Enterprise, Business Analysis and Statistics Group; Business; School; University of Hertfordshire; Hertfordshire UK

Publisher

Wiley

Subject

Management of Technology and Innovation,Information Systems and Management,Strategy and Management,General Business, Management and Accounting

Reference60 articles.

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3. A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality;Austin;Statistics in Medicine,2007

4. Predictors of late asthmatic response. Logistic regression and classification tree analyses;Avila;American Journal of Respiratory and Critical Care Medicine,2000

5. A predictive model for readmission of patients with congestive heart failure: A multi-hospital perspective;Bardhan;Proceedings of the Thirty-second International Conference on Information Systems, Shanghai,2011

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