Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
AMIA Annu Symp Proc. 2013 Nov 16;2013:300-8. eCollection 2013.

Mining MEDLINE for problems associated with vitamin D.

Author information

  • Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, DHHS, Bethesda, MD.

Abstract

This paper presents a two-step approach to generating comprehensive abstractive overviews for biomedical topics. It starts with a sensitivity-maximizing search of MEDLINE/PubMed and MeSH-based filtering of the results that are then processed using NLP methods to extract relations between entities of interest. We evaluate this approach in a case study based on the IOM report on the role of vitamin D in human health. The report defines disorders that serve as health indicators for the role of vitamin D. We evaluate the abstractive overviews generated using MeSH indexing and the extracted relations using the disorders listed in the IOM report as reference standard. We conclude that MeSH-based aggregation and filtering of the results is a useful and easy step in the generation of abstractive overviews. Although our relation extraction achieved 83.6% recall and 92.8% precision, only half of the disorders of interest participated in these relations.

PMID:
24551339
[PubMed - indexed for MEDLINE]
PMCID:
PMC3900180
Free PMC Article

Images from this publication.See all images (7)Free text

Figure 1:
Figure 2:
Figure 3:
Figure 4:
Figure 5:
Figure 6:
Figure 7:
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for PubMed Central
    Loading ...
    Write to the Help Desk