Sentence examples for detection of inaccurate from inspiring English sources
Procedures for prevention of insufficient data quality, detection of inaccurate or incomplete data and actions to improve data quality will be performed, e.g. user reliability trainings, automatic plausibility and integrity checks and data error reports to the collaborating centers.
Procedures for prevention of insufficient data quality, detection of inaccurate or incomplete data, and actions to improve quality will be performed, for example, user reliability trainings, automatic plausibility, and integrity checks.
Quality assurance consists of procedures for prevention of insufficient data quality, detection of inaccurate or incomplete data and action to improve data quality, e.g. user training sessions, automatic plausibility and integrity checks within the remote data entry system and data error reports for the local centres.
Furthermore, a multitude of procedures for the prevention of insufficient data quality, the detection of inaccurate or incomplete data and actions to improve the data's quality were performed (e.g. user reliability trainings, automatic plausibility and integrity checks and data error reports to the collaborating centers).
Quality assurance consists of procedures for the prevention of insufficient data quality, the detection of inaccurate or incomplete data and actions to improve data quality, e.g. user training sessions, automatic plausibility and integrity checks within the remote data entry system and data error reports.
Another explanation is that the misGvA method is not 100% specific for Pol ι and allows for the detection of other inaccurate Pols, for example Pol η.
Detection of MetS is inaccurate among GPs in Finland.
In this case, there will be different apparent proportions of normal cells in different regions, and small regions with alternating CNA states tend to be detected, which can be considered as a signal of inaccurate detection.
Uncertainty of these estimates may be substantial because of imprecision and inadequate spatial resolution of statistical models, limited data from PWS, and other factors, such as the assignment of inaccurate laboratory detection limits for arsenic concentrations used in our models.
Firstly, due to the data sparseness problem, this algorithm is likely to divide the long contact duration into several small contact durations, which results in the inaccurate detection of contact pattern.
Furthermore, detection of heteroresistance could prevent inaccurate "cured" treatment outcomes documented through smear microscopy and permit more sensitive detection of neonascent resistance.
