Sentence examples for optimise prediction from inspiring English sources

In this study, survival was directly modelled using classification models to optimise prediction accuracy.

This is urgently required to build and optimise prediction models for secondary tumours, but also tissue effects, and to enable comparison of different techniques and/or technologies.

This involves optimising the post-synaptic sensitivity (and lateral interactions) of prediction error units within an area or source (Friston, 2003).

To achieve a fair comparison with related work, we optimised prediction thresholds of all compared methods to yield a maximum Matthews correlation coefficient (MCC).

A secondary analysis will identify the comorbidity index which optimises prediction of death from causes other than prostate cancer within 10 years of diagnosis of PCa.

The paper aim is to establish and optimise the prediction model of a thermoplastic fibre reinforced component designed and manufactured through an integrated injection moulding process (Hybrid Moulding).

However, there are no previous reports of studies combining serological and genetic factors in order to optimise the prediction of a future risk of developing RA.

We have no such concerns here, since we are not seeking inference of any exposure nor confounder adjustment: rather, we seek to optimise outcome prediction by modelling patient characteristics to accommodate casemix differences.

Thus, hyponatremia may have the potential to be easily incorporated into prognostic models optimising outcome prediction.

Furthermore, in a multivariate analysis, only a positive EGFR mutation status was associated with an improved OS, suggesting that the EGFR mutation status should be analysed whenever possible to optimise response predictions based on clinical background factors.

It is well known that variable selection can be a useful tool for optimising multivariate prediction models, since many of the detected variables (in this case, metabolites) carry no systematic information about the health status of the individual [ 28]; that is, they are the same in RA patients as in controls and only introduce noise in the model.