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Modern predictive modeling techniques are commonly used for modeling a target of interest based on a list of input variables. In general, these techniques are capable of identifying input variables associated with the target, but not for the purpose of identifying the causation relationship between target and inputs due to the fact that the data are observational data. Advanced technology has made...
Predictive modeling techniques are popular methods for building models to predict a target of interest. In many modeling problems, however, the focus is to identify possible factors that have significant association with the target. For this type of problem, it is very easy to stretch the interpretation of an association relationship to a causation relationship. Practitioners must pay special attention...
The infant mortality has been declining in the recent decades globally. However, it continues to be an international concern. The issues are not only on what types of diseases or incidents leading to the infant death for individual cases, but also on what factors; social, economic, environment, education and other; are associated with infant mortality in the society. In this study, we collect infant...
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