| Autor: |
Li Zeng, Neogi, Smriti, Rogers, Jamie, Seidensticker, Susan, Clark, Carlos, Sonstein, Lindsey, Trevino, Rick, Sharma, Gulshan |
| Předmět: |
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| Zdroj: |
Proceedings of the International Conference on Industrial Engineering & Operations Management; 2014, p134-144, 11p |
| Abstrakt: |
Hospital readmission is an important health care performance indicator for quality monitoring. Many efforts have been made to identify risk factors to readmission and build prediction models in various medical applications. However, there is a lack of rigorous studies on the issues in the statistical analysis for readmission modeling and guidelines on how to choose appropriate models fitting specific cases. To bridge the gap, this paper reviews five popular statistical models that can be used to model binary readmission outcomes, and provides general strategies/guidelines for model construction. These methods are illustrated in a case study using a dataset from chronic obstructive pulmonary disease (COPD) patients. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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