The imputation is usually done by a predictive model, such as linear regression to replace missing values by predicted ones based on the other variables present in the data set.
Thus, abstract concepts, compared to concrete-object concepts, cannot be easily captured by a predictive model due to the amount of error inherent in such a model.
Health literacy, as measured by a predictive model, was found to be a significant, independent predictor of 30-day readmissions.
Third, the information provided by a predictive model can contribute directly to children's quality of life.
Our results indicate that health literacy as measured by a predictive model is an independent predictor for both the risk and incidence rate of readmission after AMI.
The four main tissue-specific AS signals identified by our model are supported by a predictive model derived from putative regulaotry features, including experimental testing of the model's predictions (Barash et al., 2010).
As we discuss later, this signal was not discovered by alternative methods but was supported by a predictive model derived from putative regulatory features followed by experimental testing of the model's predictions (Barash et al., 2010).
Currently, adjusted rates used by CMS to determine financial penalties include only medical comorbidity and age. 2 However, our findings indicate that health literacy, albeit measured by a predictive model, is also a significant risk factor for readmission.
A combination of a physician's clinical evaluation with a risk estimate given by a predictive model has a better ability to distinguish patients with high or low probabilities of survival than estimates based solely on prediction of a physician or a model [ 2].
We present a scenario analysis to understand such consequences by integrating multi-disciplinary knowledge within a predictive modelling framework.
