Sentence examples for model by predicting from inspiring English sources

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We tested the predictive performance of our model by predicting the most recent BMI based on the previous one, among patients with CPRD with more than one recorded BMI available.

The team then verified the accuracy of their computational model by "predicting" the spread of flu for three subsequent seasons (2014-2017), predictions which dovetailed with what actually happened, at resolutions higher than those created by the Centers for Disease Control and Prevention.

We can further test the model by predicting specific patterns of neuronal activity and behavior.

We demonstrate this model by predicting the mechanical response of bacterial nanocellulose hydrogel composites, which are promising biomaterials and a structural mimetic for the plant cell wall.

We demonstrate the accuracy and robustness of the model by predicting single component adsorption of CO2, methane and other relevant components under a range of conditions.

Yet the results are in good agreement with novel experimental data and, furthermore, resolve a long-standing issue in the well-known Müller Achenbach Seelecke model by predicting Young's modulus of martensite to be larger than that of austenite.

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We then tested the predictive capability of the models by predicting 30-day sorption/desorption data using kinetic parameters fitted on 1-day sorption/desorption data only.

We used a niche reduction approach to species distribution modelling by predicting the historic and current distributions of a critically endangered Australian rodent, the central rock-rat (CRR).

As with eve 2, we can further compare the models by predicting the outcomes of regulatory perturbations of input TFs.

Validation of metabolic models by predicting gene essentiality is a routine procedure and the frequency of true positives is a measure of the network's quality.

The models were developed using data for 232 structurally diverse chemicals (training set) with a 10 6) range of relative binding affinities (RBAs); we then validated the models by predicting ER RBAs for 463 chemicals that had ER activity data (testing set).

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