Sentence examples for articulated data from inspiring English sources
In order to improve the study evidence, better articulated data collection and analysis according to patient's age and comorbidity including patients affected by advanced heart failure would be worthwhile.
As others before us[5], we have argued previously for the use of semantic web formats as the foundation for developing more flexible and articulated data management and analytical bioinformatics infrastructures[20].
In order to improve the study evidences, a more articulated data collection and analysis according to patient's age and disease manifestation would be worthy.
Moreover, in order to improve the study evidences, a more articulated data collection and analysis according to patient's age and comorbidity including patients affected by advanced HF (NYHA IV would be worthwhile.
Articulating Data-based Claims.
We focused our intervention on basic quantitative skills that biologists routinely apply in their practice, which include representing and interpreting data, and articulating data-based arguments.
Early in the course, we assessed the quantitative skills that students bring to the introductory biology classroom and found that students had difficulties in performing simple calculations, representing data graphically, and articulating data-driven arguments.
This paper discusses transforming ontological models into non-ontological models of business processes, when the process of articulating different data models is known as reengineering domains.
Like regulatory authorities in all the jurisdictions planning adolescent HIV vaccine trials, the Medicines Control Council should be requested to articulate the data it will require to firstly, allow adolescents into trials and secondly, to license an adolescent vaccine.
As former U.S. chief technology officer Beth Noveck articulated, this means data can do "double duty as rich social assets — if shared wisely".
The constraining effects of guidelines have been previously articulated, including ignoring data that cannot easily be measured, and failing to allow the tailoring of advice to individual patients [ 18, 19].
