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Any attempt to utilise these data to inform driving policy could have important implications on resources for health services, as investigations such as electroencephalography may be required that are not otherwise clinically indicated, and patients could choose to take antiepileptic drug treatment, which is not otherwise clinically indicated.
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One identified good correlation between Google © influenza search trends and CDC notifications and one utilised these data to develop a mathematical model to predict influenza outbreaks 7 weeks prior to the occurrence.
Utilising these minimal data to their maximum potential is important, not only for foxes, but for other species for which demographic data are collected by similar methods e.g., [37], [38], [39].
Increasing attention is now focused on utilising these data sets to discover therapeutic targets.
If physicians were to utilise these data, they then would be adding an important and largely 'new' source of clinical information to their evaluations.
Greater attention is required to build the capacity and capability of primary care teams to improve the quality of their data and to utilise these data for improvement purposes.
The ever-increasing availability of experimental information necessitates the advancement of a systematic methodology to organise and utilise these data.
It defends privacy and is designed to utilise public data to improve people's lives.
DSAMs are sequential models with a systematic procedure to utilise precursor data to estimate the posterior risk profile quantitatively.
We linked publications and reports that utilised the same data to avoid replication in the analysis.
In the current study, we utilised SEER incidence data to test our hypothesis.
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CEO of Professional Science Editing for Scientists @ prosciediting.com