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GT created the decision tree and list of criteria for appropriate prescribing.
While we created the decision aid and translated (and back-translated) it into Spanish and Chinese, we found it difficult to fully involve Cantonese-speaking patients and research staff in the process.
As participation in educational meetings can sometimes be challenging for busy clinicians [ 4], we created the "decision box" (DBox), a two-page research-based evidence summary that clinicians can receive by email or access online, and use in printed or electronic format at their own pace.
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"That kind of rich media experience creates more transactions, creates the decision to push the 'buy button' and that has been demonstrated with customers".
According to the proposed model, initially it is sufficient to create the decision variables, X jPmch and L ch, at random, and then other decision variables are calculated through them.
Our contention is that significant investment and effort is required at any given website in order to create the decision support and search agents needed to properly support buyer decision-making.
One of the first conclusions that we drew was that we should continue using rule learning algorithms for creating the decision trees, since the knowledge representation is very easy to interpret, analyse and modify, if you want to include your own knowledge.
The threshold probability can then be varied to create the "decision curve" for any particular model, test or marker.
The learning data set was used to create the decision tree, which was intended for future use in predicting response to treatment for similar patients.
Instead of applying a sophisticated hybrid-sampling scheme [ 20] to create the decision ensemble, in this study we used a simplified under-sampling scheme.
In this study, we proposed a novel variable selection framework based on ensemble learning, in which random forests (RF) [ 26] was chosen as the independent variable selector for creating the decision ensemble, where the number of trees was 500.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com