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The extracted relevant knowledge from the queuing system entities was used to update corresponding simulation models.
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Owing to the straightforward interpretability of the resulting patterns, frequent itemset mining techniques are powerful tools to extract relevant knowledge from complex biological data.
Nowadays the phenomenon of Big Data is overwhelming our capacity to extract relevant knowledge through classical machine learning techniques.
We extracted relevant information from the adult intensive care unit (ICU) database (sistema Epimed™).
Three independent authors extracted relevant data from eligible studies.
One reviewer (RMvR) extracted relevant data from the included studies.
Two data extractors (RJ and ROJ) independently assessed and extracted relevant data from each published RCT.
The same reviewers independently extracted relevant data from each of the studies that were included.
Two reviewers (Zhenzhen Wu and Rui Zhou) independently extracted relevant details from the included studies.
Authors of the paper extracted relevant themes emerging from the interview transcripts across the two phases.
Results show that GHSOM is a powerful and versatile tool to extract relevant and straightforward knowledge from the vast amount of information involved in a real citizen web portal.
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CEO of Professional Science Editing for Scientists @ prosciediting.com