Sentence examples for validation to develop from inspiring English sources

As introduced above, before the localization system can be used, an offline training is first performed, including labeling of the rooms or regions of the site ("zoning"), RSS data acquisition, and training and validation to develop a localization model.

Our review highlights that the IPD meta-analysis approach is highly appealing, as it allows the use of internal-external cross validation to develop a model and simultaneously evaluate its performance across multiple populations.

These genes are candidates for further validation studies to develop a gene-based signature that can detect low dose-rate exposures for large-scale biodosimetry.

The validation study to develop the Iranian version of PedsQL™ Oral Health Scale also concluded that the instrument was unidimensional based on their CFA findings [ 15].

The usual approach to cross validation is to develop the model in one half of the dataset (the training set) and to validate it in the other half (the testing set).

Kin-driver is a manual expert-curated database that pays special attention to activating mutations (AMs) and can serve as a validation set to develop new generation tools focused on the prediction of gain-of-function driver mutations.

This was an initial attempt using a set of 217 records and small validation sets to develop a suitable filter to identify non-randomised studies for use in research where comprehensive searches are required.

As an example of the utility of these data, we use the MammaPrint discovery and validation data to develop an alternative signature and prognostic test for breast cancer, which is based on several two-gene comparisons [ 20, 21].

Furthermore, if the 'Strengthen your ankle' App indeed does increase intervention uptake this will provide the necessary validation to further develop and enhance this promising role of new media in the implementation of preventive measures and interventions.

14 Comparability of individual study results is limited by the varied internal validation approaches used to develop the diagnostic algorithms: in three studies 4 6 13 cross-validation was performed by re-calculating sensitivities and specificities (with 95% CIs) following omission of signs, one at a time, from an existing set of independent clinical predictors.

Split-half validation was used to develop the risk score.