Sentence examples for models for decision making from inspiring English sources

By obtaining preferences for varying levels of severity, our results have greater applicability in various types of models for decision making.

4 5 6 7 8 9 10 11 12 Inconsistencies in the inputs, structure, and results of the model, together with optimistic assumptions about mortality and quality of life after elective surgery, and a focus on short term clinical costs, have made the relevance of these models for decision making unclear.

Here we use foraging behaviour as a model for decision making.

It is also necessary to consider the maximum and minimum values of input parameters measured during a normal year in the models used for decision making.

But few biophysical models are designed for decision making.

Ultimately, we pursue a modeling strategy that can be prespecified and achieve little bias in ddQTc estimates, and in the process, evaluate if a biological model is really necessary for decision making.

Given that the primary objective of the CQTc analysis is determining the extent of QTc prolongation as a function of concentration, and not estimating the magnitude of biological variability, complex models may not be necessary for decision making.

In addition, multi-scale approach can provide integrated system models for decision-making with high accuracy based on first-principle phenomena.

Developments and advances in experimental technologies providing useful data make it possible to identify civil engineering structures and to obtain a more reliable model characterizing the existing condition for decision making.

The reason for assessing the water quality data and developing a model was to provide information for decision making on preliminary actions to prevent any further deterioration of existing water quality.

As mathematical modeling becomes a powerful tool for decision making both in pre-planning [16] [25] and in real-time situations [26] [30], knowing in advance how to account for spontaneous behavioral changes would greatly improve the predictive power of epidemic transmission models and the evaluation of the effectiveness of control strategies.