The phrase 'data diagnostics' is correct and usable in written English.
You can use it when referring to the analysis of data in order to identify and solve problems. For example, "The data diagnostics revealed some unexpected issues that needed to be addressed before we could move forward."
The scientists, who had not known each other previously, were assigned to teams according to their interests and spent the days preceding the LOT Summit working remotely to devise a practical and useful innovation in a specific field: big data, diagnostics, health IT, regulation and policy, or therapeutics, to name a few.
Visual data diagnostics revealed that the frequency distribution of geographic distance between case pairs was bi-modal with a cluster of relatively short and another of relatively long distances (Figure 1).
If desired, a sample image can be displayed after a predetermined amount of time during 'Movie' acquisitions to offer interim data diagnostics.
Graphics is an important tool in data diagnostics that can be used to detect patterns, screen outliers, and test hypotheses [ 1– 5].
Arrays were imaged with a Scan Array 5000 system (Perkin Elmer, Wellesley, MA) and the resultant image files were imported into Imagene v.6.0 for data extraction and initial data diagnostics.
The selection process was documented according to PRISMA criteria (Fig. 1) 7. Studies on in vitro data, diagnostics, treatment of the primary tumor, single case reports, and clinical trials on locoregional treatment modalities were excluded.
Besides, ParSA provides the similar interfaces as the NetCDF Operator (NCO), which is used in most of climate data diagnostic packages, making it easy to use this framework.
A real-time in-core monitoring system (ICMS) input data diagnostic system was tested for the first time during the commissioning of Novovoronezh NPP II's unit 1.
We cede that with administrative data diagnostic criteria are more difficult to establish, and this lack of clinical correlates results in uncertainty about the appropriateness of treatment or non-treatment of patients.
Relevant data (for example, study design, source of control data, diagnostic criteria) were extracted and tabulated.
Six qualification strategies were defined that combine genotyping data, diagnostic tests results and flock pedigree.
