Sentence examples for dataset to develop the from inspiring English sources

The developed model was validated using leave-out-one cross-validation approach, where randomly (N − 1) observations were selected from the original dataset to develop the model and then tested on the left-out-one observation, which was repeated for N times, where N is the number of observations in the dataset [17].

Many studies have combined multiple datasets to develop the risk model, for example by obtaining controls and cases from different populations [ 7, 30– 32], or have derived risk models in multiple populations [ 33].

On the basis of these in vivo findings, we used a mixed-methods approach with the same dataset to develop an understanding of the role of family support in the performance of self-care behaviors in general, and medication adherence specifically.

We have used the dataset to develop a quasi-3D model for the Greater Juha area, with associated cross-sections revealing that the exposed Cenozoic Darai Limestone is well-constrained with very low shortening of 12.6 21.4% yet structures are elevated up to 7 km above regional.

The theoretical laboratories will use this unprecedented dataset to develop large-scale models of the decision-making process.

Two researchers recursively read the dataset to develop a preliminary coding structure.

This dataset was applied as the training dataset to develop our prediction model.> -wrap-foot> *PositiveNum and NegativeNum represent the number of positive samples and negative samples, respectively.

In the proposed framework, we first adjust the extreme precipitation time series estimated by PERSIANN-CDR using an elevation-based correction function, then use the adjusted dataset to develop DDF curves.

We applied the Pilot dataset to develop and validate a method for clustering and mapping objectively detected potentially ligandable binding sites.

GARP works iteratively for rule selection: a method is chosen from a set of possibilities (logistic regression, bioclimatic rules, atomic rules and range rules), and it is then applied to the training dataset to develop or evolve a rule.

Rather, we combined all patients into one dataset to develop and validate POD composite outcome measures.