Health Informatics
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 are developing
measures of semantic
similarity and relatedness for the medical domain. These are found
in
UMLS::Similarity,
which also relies on
UMLS::Interface.
You can try out a web interface for UMLS::Similarity on our servers
atlas
or maraca.
We are also developing an unsupervised knowledge based method of word sense
disambiguation
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.
- Summer 2005 :
- Summer 2004 :
- Summer 2003 :
Bridget McInnes participated in the
National Library of Medicine
(NLM)
Medical and Graduate Student Training Program
(March - September 2008).
Current Health Informatics Collaborators
- Serguei Pakhomov
(Associate Professor, University of Minnesota Twin Cities)
- Ying Liu
Post-Doctoral Researcher, University of Minnesota Twin Cities)
- Bridget McInnes
(Post-Doctoral Researcher, University of Minnesota Twin Cities)
By: Ted Pedersen -
tpederse AT d umn edu