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The improvement in entity extraction quality will also increase the precision of entity relationship extraction.
Extraction quality assurance was verified by 10%% independent review (20/207 cases).
Study selection, data extraction, quality assessment, and a meta-analysis were carried out.
Study selection, data extraction, quality assessment, and data analyses were conducted according to the Cochrane standards.
DNA extraction quality was evaluated for PCR inhibition via amplification of the bacterial 16S rRNA gene in undiluted versus diluted DNA extracts.
These extracted entities will make a highly reliable training set for machine learning algorithms to learn the extraction rules for the two categories, and thus improve the extraction quality (F measure) of all two extractors.
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From Table 6, listing all obtained EERs (rate, where false accepts equals false rejects) for a compact representation of results, it can be clearly seen that now, after feature extraction, quality-based segmentation fusion can improve accuracy in all tested variants, across databases and algorithms.
Total RNA was extracted as previously described (see RNA extraction and quality checking section).
Two reviewers conducted screening, data extraction, and quality assessments.
The process of study selection, data extraction, and quality assessment was performed by two reviewers independently.
Two independent investigators performed data extraction and quality evaluation using the Cochrane Collaboration's tool.
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