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The framework promotes the idea that everyone is responsible for achieving RHIS objectives and performance, thus reducing the division of data collectors and data users.
The electronic data management system for the KNOW-CKD was developed by the division of data management in Seoul National University Medical Research Collaborating Center.
The clustering is a result of the division of data into several groups based on RMSD variation; thus data in the same group will have the similar structure (position and composition).
In the SC-BLSOM, more BLSOMs are constructed than in the conventional BLSOM, but they need much shorter computation time than the BLSOM for all data input at once, because the division of data in the first-layer BLSOM has significantly reduced the number of input data pieces for each divided BLSOM.
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The following routines were written; the division of experimental data set on training and test set; selection of data for training and test set; Dixon's outlier test; retraining procedure routine; calculations of relative error.
The number of cases reported on the first day of identified outbreaks ranged between 2 and 4. The historical data are displayed in Figure 1 and Additional File 2, with the division of the data into 15 'outbreak' datasets based on equal bisection of each of the intervening non-outbreak periods.
The Public Use File was withdrawn by Cynthia Grubbs, director of the division of practitioner data banks for the agency, after she was pressured by a doctor who was being investigated by The Kansas City Star, according to records released to Senator Grassley and to The New York Times under the Freedom of Information Act.
Horizontal partitioning comes from the division of original data into initial and "reoptimized" parts.
Results showed that the predictor barely is affected by the division of the data into training and test sets (see Fig. 3a and Additional file 1: Table S1).
For example, by pooling data and/or results from multiple studies on a given disease/trait, one may attain a sample size large enough to permit the division of the data into multiple relatively more homogeneous subgroups.
Customer segmentation is the division of the data set into groups with similar attributes can be implemented to segment the applicants into groups with similar characteristics based on the attributes present in the dataset.
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