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Article

Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes.

PloS one - 1 Jan 2015

Oellrich Anika, Collier Nigel, Smedley Damian, Groza Tudor

Abstract excerpt

Electronic health records and scientific articles possess differing linguistic characteristics that may impact the performance of natural language processing tools developed for one or the other. In this paper, we investigate the performance of four extant concept recognition tools: the clinical Text Analysis and Knowledge Extraction System (cTAKES), the National Center for Biomedical Ontology (NCBO) Annotator,...

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Identifiers

PMID: 25607983
DOI: 10.1371/journal.pone.0116040
PMCID: PMC4301805

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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