Sentence examples for prevalent codes from inspiring English sources

The most prevalent codes in the data transcripts were terms associated with the notion of objectivity.

20 Within each data dimension the top 200 most prevalent codes, whether diagnostic, procedural, or medication based, were selected, and each code was converted into three binary empirical covariates by rating how often a participant gets a code as "once," "sporadic," or "frequent".

Data analysis will rely on a three-stage coding process that will consist of: (1) initial coding, that is, an intense, line-by-line analysis of the transcripts; (2) focused coding, in which a selected set of most prevalent codes will be identified; and (3) theoretical coding, in which we will refine the final categories in our theory and relate them to one another.

A missense mutation (V600E) in the activation loop of serine-threonine protein kinase B-RAF (BRAFV600E) is the most prevalent coding region mutation in melanoma and is seen in >50% of melanoma tumors (Davies et al., 2002).

So, prevalent cases, coding error misclassification (benign, in situ, etc)., multiple readmissions, coding cancer in a secondary diagnostic position or not having a concurrent surgical procedure in the same episode, have been suggested causes of false positive cases of incident cancer.

We have developed a code translation table to automatically define 776 different disease populations and their controls using prevalent ICD9 codes derived from EMR data.

Further work to refine the PheWAS case algorithms may improve performance beyond using prevalent ICD9 codes.

In our study, the 20 most prevalent diagnostics codes accounted for 53.6% of confirmed health problems for the 22,206 patients.

The most prevalent ICPC codes within the pre – disaster psychological cluster represented depressive disorder, sleeping problems, anxious feelings and depressed feelings (constituting 64% of the cluster).

The most prevalent 200 codes within each data dimension were selected and prioritised based on their potential to bias the exposure-outcome relation, and the top 500 binary empirical variables were included in the propensity score model.

In the present survey, code 1 was the most prevalent caries code in the primary dentition.