Sentence examples for used in large databases from inspiring English sources

The most popular data structure used in large databases is the B-tree, or a variation thereof.

Multi-relational algorithms do not present a satisfactory performance when used in large databases because the generated data structures may be too large to be allocable in memory, which would make the use of these algorithms impractical.

A challenging task is to search similar structures quickly for structured RNA sequences in large genomic databases since existing methods are too slow to be used in large databases.

The speed of the system and the small storage overhead make it suitable for use in large databases with online user interfaces.

Severity is most commonly outcome used and in adult populations, indices of asthma severity have been developed and validated for use in large databases[ 41].

Although multiple studies have been undertaken to investigate various aspects of COPD over the past 10 years in several electronic health record databases, there is no standard definition used to identify COPD in large databases and codelists used to identify patients with COPD vary by author.

Recognizing the potential for its use in large database studies that require risk adjustment for individual patients, the Charlson index has previously been adapted for use with administrative data [ 12- 15].

In conclusion the low PPV of the diagnosis code for AH suggests that caution is necessary if this hospitalization database is used in large-scale epidemiologic studies of this condition.

This is an important observation because many questions that could be addressed using similar analytic methods in large databases are difficult to address in randomized trials because of cost constraints or design complexity.

A fingerprint is also a one dimensional representation of a chemical compound and it is widely used for chemical similarity search in large databases [31].

However, because RAPSearch uses a suffix array to index the database sequences for seed identification, it uses substantial memory for searches in large databases.