Sentence examples for improving validation from inspiring English sources

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It has already proven useful in presenting changes in the case-mix system to hospital owners and improving validation of the changes.

Bacterial GWASs are now about to come of age thanks to the availability of massive datasets, and because of the potential to bridge genomics and traditional genetic approaches that is provided by improving validation strategies.

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Even adding the ability to validate by SMS would significantly improve validation and tracking.

Results from the GOSAT/OCO missions should be used to improve validation efforts by comparison with PEM outputs - a potential improvement over the current sparse network of FLUXNET [97] towers currently used for validation.

The alignments were manually modified to improve validation results, and the modelling and validation processes repeated until models with good geometry and conformations were obtained.

It is recommended that all intellectual, achievement, and neuropsychological measures need improved validation with normative groups screened for poor effort.

A tuned version of the model using the model statistical coefficients' confidence intervals revealed improved validation results of 19%averagee percent error (outperforming existing correlations) and 62% standard deviation.

We show that the Genetic Algorithm tool, after being constrained during the reproduction process within a specified range and trend of variation of the Weights of Evidence coefficients, was able to overcome overfitting and improve validation fitness scores with acceptable computational costs.

While many splice junction algorithms filter on specific attributes to improve validation rates, for example, SpliceMap has filtering to remove junctions with only a single supporting read, HMMSplicer's score provides a more flexible way to tune true and false positive rates for the experiment.

If paralogous genes affect the detection of polymorphic SNPs, more stringent filtering will not improve validation rate.

It also provides more improved validation rate of survival-related pathways than when a single cancer sample is interpreted in the context of cancer-only cohort.

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