BioNOT: a searchable database of biomedical negated sentences.

ABSTRACT:

Background

Negated biomedical events are often ignored by text-mining applications; however, such events carry scientific significance. We report on the development of BioNØT, a database of negated sentences that can be used to extract such negated events.

Description

Currently BioNØT incorporates ≈32 million negated sentences, extracted from over 336 million biomedical sentences from three resources: ≈2 million full-text biomedical articles in Elsevier and the PubMed Central, as well as ≈20 million abstracts in PubMed. We evaluated BioNØT on three important genetic disorders: autism, Alzheimer's disease and Parkinson's disease, and found that BioNØT is able to capture negated events that may be ignored by experts.

Conclusions

The BioNØT database can be a useful resou

SUBMITTER: Agarwal S 

PROVIDER: S-EPMC3225379 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature