Comparison of predictive modeling approaches for 30-day all-cause non-elective readmission risk

Comparison of predictive modeling approaches for 30-day all-cause non-elective readmission risk

Abstract Background This paper explores the importance of electronic medical records (EMR) for predicting 30-day all-cause non-elective readmission risk of patients and presents a comparison of prediction performance of commonly used methods. Methods The data are extracted from eight Advocate Health...

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Bibliographic Details
Main Authors: Liping Tong, Cole Erdmann, Marina Daldalian, Jing Li, Tina Esposito
Format: Article
Language:English
Published: BMC 2016-02-01
Series:BMC Medical Research Methodology
Subjects:
Predictive Models
Readmission Risk
STEPWISE
LASSO
Ada Boost
Online Access:http://link.springer.com/article/10.1186/s12874-016-0128-0

Internet

http://link.springer.com/article/10.1186/s12874-016-0128-0

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