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Therefore, ACVAS also uses a prediction model.
SIFT uses a prediction model based primarily on evolutionary information [ 23], whereas PolyPhen-2 adds protein structural data to the feature space [ 24].
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Further follow-up analysis will be undertaken to fully evaluate the predictive value of these markers using a prediction model as was used by Chien et al. [ 42].
In this paper, we devise an effective detector for identifying faulty traffic sensors using a prediction model based on Gaussian Processes.
This agonistic effect was further confirmed in silico using a prediction model based on crystal structures.
The best results were obtained using a prediction model based on accelerations in 13-octave bands of pitch vibrations.
On one project, the data science team used a prediction model to help a client marketing company determine how many of its current customers were likely to cancel their paid service, or, in corporate parlance, to "churn". While both the company's business and data science teams shared the common goal to minimize churn for their clients, they interpreted algorithmic results differently.
A variety of prediction methods are used to relate high-dimensional genome data with a clinical outcome using a prediction model.
However, depending on what the goals of using a prediction model are, one could easily choose the CFH model as the best one-factor model.
For those using a prediction model, it is important to understand the population in whom the model was developed and in whom the model has been validated.
Using a prediction model for risk stratification as designed in this study, antibiotic stewardship in terms of prudent use of glycopeptides becomes possible.
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