EpiphaNet: An Interactive Tool to Support Biomedical Discoveries.

TitleEpiphaNet: An Interactive Tool to Support Biomedical Discoveries.
Publication TypeJournal Article
Year of Publication2010
AuthorsCohen T, G Whitfield K, Schvaneveldt RW, Mukund K, Rindflesch T
JournalJ Biomed Discov Collab
Volume5
Pagination21-49
Date Published2010
ISSN1747-5333
Abstract

UNLABELLED: Background. EpiphaNet is an interactive knowledge discovery system which enables researchers to explore visually sets of relations extracted from MEDLINE using a combination of language processing techniques. In this paper, we discuss the theoretical and methodological foundations of the system, and evaluate the utility of the models that underlie it for literature-based discovery. In addition, we present a summary of results drawn from a qualitative analysis of over six hours of interaction with the system by basic medical scientists.

RESULTS: The system is able to simulate open and closed discovery, and is shown to generate associations that are both surprising and interesting within the area of expertise of the researchers concerned.

CONCLUSIONS: EpiphaNet provides an interactive visual representation of associations between concepts, which is derived from distributional statistics drawn from across the spectrum of biomedical citations in MEDLINE. This tool is available online, providing biomedical scientists with the opportunity to identify and explore associations of interest to them.

PubMed URLhttp://www.ncbi.nlm.nih.gov/pubmed/20859853?dopt=Abstract
Alternate TitleJ Biomed Discov Collab
PubMed ID20859853
PubMed Central IDPMC2990276
Track(s): 
Bioinformatics and Systems Biology