Sentence examples for merged terms from inspiring English sources

18 April 2011: Revised and merged terms for the submission of content by site users.

We therefore merged terms that are not necessarily synonyms but have the same medical implication, e.g. kidney failure and elevated creatinine (ESM 2).

This phenomenon can be explained by the definition of maximum cohesion function, which takes into account all pairwise closeness between merged terms.

Tables 2 and 3 list the top 5 pairs of merged terms (sorted by their closeness scores) by H euristic and A pproximate, respectively.

In each bracket of two merged terms, the left part is the closeness score and the right part is the cohesion score.

Many variants of the same feature will often confuse machine learning models and merging terms that have the same semantic meaning strengthens the model and increases performance.

A key feature that makes this possible is that we merge terms that have the same anatomical location or medical implication, even if they are not merely alternative spelling variants.

To compile a sense inventory of abbreviations from a list of expanded forms, we must merge term variations referring to the same concept into a single representative form.

From Tables 2 and 3 we can observe that the A pproximate algorithm merges terms with much higher similar scores than the H euristic algorithm.

In all, MGI required approximately 740 terms to be added as children of MeSH terms where CTD had merged the OMIM term into the MeSH term.

In summary, the baseline MA file contained 2421 terms, from which 5 pairs of terms were subsequently merged and 1 term was deleted.