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NCBO Webinar: Stephen Wu, Dec. 7 - UMLS Term Occurrences in Clinical Notes: A Large Scale Corpus Analysis

From: Trish Whetzel <plwhetzel@gmail.com>
Date: Fri, 2 Dec 2011 16:54:02 -0800
Message-ID: <CAE4f=niHnjaaz7NW8iCDjqRYCx8Lk4BGoNjfiTk30rEvzP+AEQ@mail.gmail.com>
To: HCLS <public-semweb-lifesci@w3.org>, OBI Developers <obi-devel@lists.sourceforge.net>, mged-ontologies@lists.sourceforge.net, gensc-wgs-all@lists.sourceforge.net, psidev-ms-vocab@lists.sourceforge.net
The next NCBO Webinar will be presented by Dr. Stephen T. Wu from the Mayo
Clinic on "UMLS Term Occurrences in Clinical Notes: A Large Scale Corpus
Analysis" at 10:00am PT, Wednesday, December 7.  Below is information on
how to join the online meeting via WebEx and accompanying teleconference.
For the full schedule of the NCBO Webinar presentations see:
http://www.bioontology.org/webinar-series.


ABTRACT:
Ontologies such as SNOMED-CT, MeSH, or RxNorm may be used to identify terms
in text as normalized concepts, which in turn allows the contents of
medical language to be comparable at a high-throughput level. However,
systems that intelligently process clinical and biomedical data are often
slowed down and distracted by the extensive nature of the utilized
ontologies, and may therefore benefit in efficiency by a customizable
filtering. Based on the occurrences of terms in a 51 million document
corpus of clinical notes from Mayo Clinic, this study computes a suite of
statistics with distributional characteristics by source ontology, semantic
type, and syntactic type. These statistics imply empirically- based
criteria for filtering a lexicon in the clinical domain; a small,
intelligent lexicon would make near real-time processing of clinical text a
possibility.


SPEAKER BIO:
Stephen T. Wu is a Research Associate and Instructor in Medical Informatics
at Mayo Clinic.  With a background in Electrical Engineering (BS/MS) and
statistical Natural Language Processing (PhD), Dr. Wu joined the Mayo NLP
program in July 2010. His interests include computational semantics and its
application to real-world clinical and epidemiological problems.  This
includes the discovery and modeling of semantic content in clinical text,
and Dr. Wu has thus conducted comparative, large-scale studies on the
semantic output of NLP systems in both the clinical and biomedical
domains.  He is also working on developing evidence-based ontological
resources. His research in general-domain NLP has included broad-coverage
distributional semantics, speech interfaces sensitive to ontological
context, and cognitively-motivated models of language.


WEBEX DETAILS:
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To join the online meeting
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1. Go to
https://stanford.webex.com/stanford/j.php?ED=171725992&UID=481527042&PW=NYWNiNWQ4MTcx&RT=MiM0
2. If requested, enter your name and email address.
3. If a password is required, enter the meeting password: ncbo
4. Click "Join".

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Audio conference information
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To receive a call back, provide your phone number when you join the
meeting, or call the number below and enter the access code.
Call-in toll number (US/Canada): 1-650-429-3300
Global call-in numbers:
https://stanford.webex.com/stanford/globalcallin.php?serviceType=MC&ED=171725992&tollFree=0

Access code:924 350 105



Trish Whetzel, PhD
Outreach Coordinator
The National Center for Biomedical Ontology
Ph: 650-721-2378
http://www.bioontology.org

Now on Twitter: http://twitter.com/#!/bioontology
and "Like" us on Facebook:
http://www.facebook.com/pages/National-Center-for-Biomedical-Ontology/127444774011153
Received on Saturday, 3 December 2011 00:54:42 UTC

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