Sentence examples for prognostic problem from inspiring English sources

This article represents a first step towards the solution of this problem by focusing on a rigorous mathematical definition of the prognostic problem, and defining novel performance metrics based on Bayesian Cramér-Rao Lower Bounds for the predicted state mean square error (MSE) conditional to measurement data and model dynamics.

In this regard, this article introduces novel prognostic performance metric based on the concept of Bayesian Cramér-Rao Lower Bounds (BCRLBs) for the predicted state mean square error (MSE), which is conditional to measurement data and model dynamics; providing a formal mathematical definition of the prognostic problem.

We developed a new quantitative prediction-based method for this prognostic problem based on the discovery of clinically relevant transcriptional association networks.

In this article, we report a new supervised prediction method for this prognostic problem, which is based on the discovery of clinically relevant transcriptional association networks.

To deal with this prognostic problem, we developed SATuRNo as a new supervised prediction method based on the discovery of clinically relevant transcriptional association networks.

For diagnostic or prognostic problems, the question is whether these systems have been able to predict more accurately than human experts.

However, major diagnostic and prognostic problems often arise by histopathological assessment (WHO classification) since seven types of endometrial carcinoma can be distinguished.

The most direct way to apply LAD to prognostic problems is to examine which patterns are displayed by a new case.

At the moment, several investigators in this field draw particular attention to biomedical factors but there is growing evidence that important prognostic problems such as biopsychosocial factors appear to be even more important as a basis in an intervention program [ 10, 11].

The whole proposition is illustrated on a real-world prognostics problem concerning the prediction of an engine health.

After that, we discussed the prognostics approaches, their advantages and disadvantages, and how to use the suitable technique according to the prognostics problem definition.