Towards a characterization of apparent contradictions in the biomedical literature using context analysis.

ABSTRACT:

Background

With the substantial growth in the biomedical research literature, a larger number of claims are published daily, some of which seemingly disagree with or contradict prior claims on the same topics. Resolving such contradictions is critical to advancing our understanding of human disease and developing effective treatments. Automated text analysis techniques can facilitate such analysis by extracting claims from the literature, flagging those that are potentially contradictory, and identifying any study characteristics that may explain such contradictions.

Methods

Using SemMedDB, our own PubMed-scale repository of semantic predications (subject-relation-object triples), we identified apparent contradictions in the biomedical research literature and developed a cat

SUBMITTER: Rosemblat G 

PROVIDER: S-EPMC7001095 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature