Logistic regression analysis for Predicting Methicillin-resistant Staphylococcus Aureus (MRSA) in-hospital mortality

Abstract

Statistical models have been widely used in public health and made a difference in a wide range of applications. For example, they provide new ideas for efficient feature selection. This paper attempts to demonstrate how to apply regression-based methods to accurately predict in-hospital mortality of Methicillin-resistant Staphylococcus Aureus (MRSA… (More)
DOI: 10.1109/ISI.2011.5984112

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@article{Hai2011LogisticRA, title={Logistic regression analysis for Predicting Methicillin-resistant Staphylococcus Aureus (MRSA) in-hospital mortality}, author={Yizhen Hai and Vincent C. Cheng and Shui Yee Wong and Kwok-Leung Tsui and Kwok-Yung Yuen}, journal={Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics}, year={2011}, pages={349-353} }