title: EpiphaNet: An Interactive Tool to Support Biomedical Discoveries.
abstract: 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.
authors.affiliation: University of Texas Health Science Center. treversec@gmail.com.
authors.forename: Trevor
authors.initials: T
authors.lastname: Cohen
authors.forename: G Kerr
authors.initials: GK
authors.lastname: Whitfield
authors.forename: Roger W
authors.initials: RW
authors.lastname: Schvaneveldt
authors.forename: Kavitha
authors.initials: K
authors.lastname: Mukund
authors.forename: Thomas
authors.initials: T
authors.lastname: Rindflesch