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This is a way to generate multiple datasets with real data that have no association with the classification labels.
The stability and reproducibility of the prediction model would be significantly increased when multiple datasets with the same study design are pooled together.
For this illustration, we simulated multiple datasets with the initial values presented in Figure 6(b), which could easily reflect actual experimental settings.
In such a situation, which is more typical than the earlier illustration example, one can use exactly the same method, applied to multiple datasets with different dynamic profiles, as long as one can validly assume that the functional forms are not affected by differences among the datasets.
The strengths of our study include assessments in >4,500 subjects, similarity of findings across multiple datasets with different A1C methodologies, evaluation of both IEC and ADA criteria, comparison of the general utility of A1C screening with the specific problems of the proposed criteria, and the identification of potential problems in applications to different racial/ethnic groups.
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The rule creation algorithm is applied to multiple datasets, both with and without prior filtering to discover significant variables.
Future work must look at these alternative approaches to developing a clinically useful prediction tool, because even across multiple datasets and with the application of several validation techniques, this study was not able to develop a reliable prediction tool.
The goal of this experiment is to evaluate how well the three algorithms perform with increasing complexity in the input data, so multiple datasets were generated with the number of PTM groups ranging from two to five.
We demonstrate EnML using different types of sensors including laser rangefinders and depth cameras, and over multiple datasets, comparing it with alternative approaches.
Bootstraping and calculation of the Jaccard's coefficient matrices from the resulting multiple datasets was performed with the PhylTools software [ 49].
Since the algorithm can deal even with multiple datasets, independently of the acquisition technique, it also works as an intrinsic filter.
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