Sentence examples for erroneous registration from inspiring English sources

Despite a high-tech, tablet-based voter registration system, early reports from poll monitors warned of long waits and erroneous registration data that told voters that their polling stations were hundreds of miles away.

This led to the exclusion of 398 patients who died during the hospitalisation for herpes zoster or had an erroneous registration.

The main reasons for lack of agreement between the DHR and the NRP were erroneous registration of the operative side and registration of a procedure code in the NRP that we had not defined as a revision.

To minimise the risk of erroneous registrations, only those coded for both diagnosis and adequate intervention (either upper femur fracture surgery or hip replacement, i.e. ICD-10 surgical codes NFJ and NFB) were registered as hip fracture.

Also, erroneous birth year registration at the time of sampling cannot be excluded, and understated biological age could explain the results for all three samples.

This whole-body CT scan was acquired in 22.5 s and in a breath-hold respiration position to avoid artefacts due to erroneous image co-registration and attenuation correction [ 11].

However, it is likely that some diagnoses are erroneous due to incorrect registration, or variation in the registration procedure or diagnostic criteria [ 24].

After excluding participants with erroneous or missing national registration number and those with a cancer diagnosis (except nonmelanoma skin cancer) before baseline, a total of 37 147 women and 45 906 men were eligible for follow-up.

In addition, the company responsible for the.info rollout, Afilias, based in Newtown, Pa., has set up procedures so registrants can correct erroneous trademark information submitted with an application for a name, or request that their registration be deleted.

This is an extreme case, but there are many more substances in the database for which erroneous data have been submitted in the registration dossiers.

On their own, machine vision algorithms may lead to misleading or erroneous interpretations because of inaccurate object segmentation, image registration, and other sources of error.