Our next Biomedical Informatics Group (BIG) meeting will be on Friday, May 29th, 2015, from noon to 1pm at 910 Madison, Room 502.
A Framework for Emerging Topic Detection in Biomedicine
Policy makers, funding agencies and researchers need tools for emerging trend analysis of scientific research. Emerging topic detection algorithms have the potential to assist researchers in maintaining awareness of current trends in biomedical fields, a feat not easily achieved with existing methods. Though topic detection algorithms for news cycles exist, several aspects of this particular area make applying them directly to scientific literature problematic.
This work presents a framework for emerging topic detection. It builds upon the probabilistic burst detection algorithm developed by Kleinberg. Characterization of bursts over an extended planning horizon by discipline was performed to understand what a typical burst trend looks like in this space to better understand how to identify important or emerging trends.
Speaker: Charisse Madlock-Brown, PhD, MLS
Dept. of Health Informatics and Information Management
University of Tennessee Health Science Center
Location: 910 Madison, Room 502.
Time: Noon to 1 pm
Please join us! Lunch will be provided