Sentence examples for pattern and abnormal from inspiring English sources
Steiner et al. found in a systematic review that the most useful individual signs for predicting 5% dehydration were abnormal capillary refill time, abnormal respiratory pattern, and abnormal skin turgor, which had positive likelihood ratios spanning from 2.0-4.1 2.0-4.1 [9
Variables included were MDR-TB contact within the family, previous tuberculosis, cavitary radiologic pattern, and abnormal lung exam.
Obvious seizure behavior was always associated with an ictal EEG pattern, and abnormal spiking EEG activity was only recorded in KO pups during overt generalized seizure behavior, which is described in detail in another study [ 17].
Specifically, we identified genes associated with abnormal heart morphology and abnormal cardiac blood flow, abnormal mesoderm development, abnormal developmental patterning and abnormal retinal neuronal layer morphology.
The developmental-patterning module consists of seven genes and is associated with phenotypes that include abnormal mesoderm development, abnormal proximal/distal developmental patterning and abnormal rostral/caudal developmental patterning.
Analyzing the methylation status of the natural homoploid hybrid Solanum ruiz-lealii by MSAP technique and Southern blot, we found association between methylation patterns and abnormal flower phenotypes.
Genetic screens have identified a class of mutants known as DISTORTED mutants because of their significant actin-related cytoskeletal growth-associated phenotypic defects and overall distorted cell shape patterning and abnormal polarized growth (trichome, epidermis, cell-cell communication) [ 2, 4- 6].
We further studied the incidence of a specific sickness absence pattern labelled as "normal" and "abnormal".
In addition, there is a hierarchy, in which the lowest UApH is associated with placental abruption followed by an abnormal FHR pattern and an abnormal FHR pattern with CAM [ 5].
Machine leaning techniques can automatically extract normal and abnormal patterns from a large set of training sensors data.
Selected biomarkers were used to classify normal and abnormal patterns by using a boosted decision tree (BDT) classifier.
