There are many fascinating natural language processing problems to be
found in the medical domain, which has led to our growing interest in
the area of
Health Informatics. Much of our research in this area takes advantage
of the ontologies, hierarchies, and terminologies found in the Unified
Medical Language System (UMLS).
We have developed
measures of semantic
similarity and relatedness for the medical domain. These are found
which also relies on
You can try out a web interface for UMLS::Similarity on our servers
We have also developed an unsupervised knowledge based method of word sense
UMLS::SenseRelate. Previously we developed
a supervised word sense disambiguation system (CuiTools) . Both of the
disambiguate medical terms relative to senses found in the UMLS.
A number of UMD graduate students have held summer internships at
the Mayo Clinic,
Division of Biomedical Informatics, in Rochester, Minnesota.
Bridget McInnes participated in the
National Library of Medicine
Medical and Graduate Student Training Program
(March - September 2008).
- Summer 2005 :
- Summer 2004 :
- Summer 2003 :
Current Health Informatics Collaborators
By: Ted Pedersen -
tpederse AT d umn edu