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In the study, we utilized a large data set from the National Health Insurance Research Database NHIRDD) to identify predicting factors for intracerebral hemorrhage in dialysis patients as the primary objective.
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(2012) utilize a large data set on Web-browsing and purchasing behavior to test how well various search models capture actual consumer search behavior.
Though other studies have looked at economic growth and innovation, the uniqueness of our study lies in utilizing a large data set that spans a longitudinal period and in deploying a sophisticated analytic tool such as Cognos, in drilling down and identifying patterns and relationships in the data.
We utilized a large vitreous cyst to illustrate the technique.
The ability to utilize a large multisite data with over 45,000, ethnically diverse women is one of the major strengths of this study.
Our study utilized a larger sample size and methodologically collected data and thus may have been able to remove the background noise that may have influenced the result of other studies.
The objective of this research was to address these limitations by utilizing a large, population-based data system containing comprehensive information about patients, their diseases, and their hospitalizations to identify variables independently associated with leaving hospital AMA.
In particular, breast cancer has been widely studied by utilizing a large amount of transcriptome data.
This is because a large data size allows the MapReduce runtime to better utilize its underlying design and remove the overheads of buffer allocation and task management.
Here, we investigate associations of these polymorphisms utilizing a large sample size allowing generation of significant data.
We further utilized these large data sets to generate a Bayesian network based on KEGG pathways.
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