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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) patients. Logistic regression is used to predict...
Prognostic methods are potentially beneficial for public health management. The blending of data-driven methods with the domain knowledge is essential to efficiently advance feature selection, anomaly detection, prognostics forecasting, data matching and clustering. This paper attempts to demonstrate how prognostic methods enable accurate Methicillin-resistant Staphylococcus Aureus (MRSA) patient...
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