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Each of these variables has only a small impact on the real-world model; however, the classifier trained by the original database will not work well on the changed real-world model.
Reference lists of eligible articles were searched to identify potentially relevant articles missed by the original database search.
The second analysis focused on whether the citation search results identified any further relevant records in addition to those retrieved by the original database searches.
Both 'inferred' and 'clinical' elements are modeled as parts of the complex element 'menopausal status at diagnosis' to record the data according to the format in which it was described by the original database.
In this section, we describe in particular our approach to named entity recognition, i.e. the problem of detecting names of relevant domain entities in biomedical literature (genes, chemicals and diseases for CTD) and grounding them to widely accepted identifiers assigned by the original database.
We carried out two analyses; the first examined the overlap between the four citation sources to identify which citation tool, or combination of citation tools, was the most useful to use and the second investigated whether the citation searches had identified any relevant records, particularly in addition to those retrieved by the original database searches.
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An example that illustrates this is the representation of the different 'tumour histological type' classification schemes used by the original databases.
By starting from the original database Ames mutagenicity [35], [36] containing 6512 chemical compounds, we created AG 3982 by filtering out isomorphic graphs based on the software SubMat [37].
We address the issues of data integrity and trust by clearly separating the original database content from the user annotations.
The locally compiled database of P. brasiliensis sequences, built by parsing sequences from the original database, was used for sequence similarity searches, using the BLAST [ 43] algorithm.
A possible solution is applying an encryption scheme that transforms the original database by the following steps: (I) replacing each item by a 1-1 substitution function; and (II) adding fake transactions to the database in such a way that each item (itemset) becomes indistinguishable with at least k − 1 other items (itemsets).
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by the original evidence
by the underlying database
by the existing database
by the original report
by the original intent
by the relational database
by the original bankruptcy
by the original author
by the original soundtrack
by the original gate
by the reduced database
by the original Consumer Reports
by the original contractor
by the original photon
by the original volume
by the original content
by the original bidding
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