Sentence examples for frequent to identify from inspiring English sources

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The proportion of patients developing vision loss remains the same under the new policy because retinopathy progresses slowly, and a screening interval of 2 years is sufficiently frequent to identify patients at or before the proliferative stage, where treatment can be given.

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But department officials say they intend to use frequent drills to identify problems in the response.

As the report also details, several jurisdictions described making significant revisions to the criteria for entry, so as to limit the use of restrictive housing, as well as undertaking more frequent reviews to identify individuals to return to general population, thereby reducing the number of people in restricted housing by significant percentages.

Let Students Solve Problems Students should be provided, as part of their regular educational experiences in middle school and high school, with frequent opportunities to identify a problem they have an interest in, study it, think through options to address it, and design solutions.

Porphyromonas gingivalis (Pg) causes alveolar bone resorption, and morphologic measurements are the most frequent methods to identify bone resorption in periodontal studies.

Based on frequent failures to identify a visual region with higher activation for written words relative to pseudowords, Jobard et al. [ 2003] concluded that there is no brain region equivalent to a written word lexicon.

Determining serum ALT levels is the most frequent test used to identify liver disease.

Discrepancies between CBG monitoring results and A1C may indicate a hemoglobinopathy, hemolysis, or need for evaluation of CBG monitoring technique and equipment or initiation of more frequent CBG monitoring to identify when glycemic excursions are occurring and which facet of the diabetes regimen is changing.

To identify frequent drug combinations, we apply the classical Apriori algorithm for mining frequent itemsets in a transactional database 19– 21 (see Algorithm 1 below).

Finally, we predicted significant motif modules by applying frequent pattern tree (FP-tree) techniques [ 30, 31] and a Poisson clump heuristic [ 32] to identify frequent instances of motif combinations in these blocks.

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