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Standard statistical techniques have shown their limitations and authors have turned their attention to the application of data mining to home healthcare.
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To our knowledge this study is the first to investigate the application of data linkage methods for the improvement of routine notifiable disease surveillance analyses in Australia.
Now it refers to the application of data-analysis and statistics in new areas, from retailing to human resources.
Our ability to analyze complex data has increased with the application of data mining techniques to educational data, thus moving us past more simplistic games and GBAs.
To assess the removal of microarray bias effect across data sets, Principal Component Analysis (PCA) and hierarchical clustering were applied to the data sets after the application of data integration methods.
The application of data to humanitarian interventions also faces obstacles.
The authors acknowledge that their study has a number of limitations, including the use of evidence drawn from a number of different trials, and the application of data to a hypothetical patient population.
Companies such as Google and Facebook are essentially Big Data businesses, whose staggering profitability stems from the application of data analysis to advertising: these "free" services are paid for by personal data surrendered automatically with every click.
All these features should help to lower the challenges and hurdles hampering the application of data-assimilation techniques in operational hydrological modeling.
Moreover, our review presents a detailed discussion about the various types of clinical big data, challenges and consequences relevant to the application of big data analytics in a health care facility.
The interpretation of whole-genome sequencing data in the context of heterogeneous tumors, however, remains a considerable challenge to the application of such data to patient care.
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