[WEBINAR] Struck by OWL: Semantic Web Standards for ICD-11 - Mark Musen - Thu Apr 21

Struck by OWL: The Adoption of Semantic Web Standards for ICD-11 - 
Yosemite Project Webinar

Mark A. Musen, M.D., Ph.D., Professor of Medicine (Biomedical 
Informatics), Stanford University; Director, Stanford WHO Collaborating 
Center for Classifications, Terminologies, and Standards

Join the live broadcast: https://goo.gl/OQzDmu

Date: Thursday April 21, 2016
Time: 2:00pm Eastern US timezone
Duration: 1 hour
Download calendar invite: 
http://yosemiteproject.org/2016/webinars/musen/calendar-invite.ics

Submit questions by email in advance or during the webinar: david@dbooth.org

ABSTRACT
Now that the United States has finally transitioned to the 10th revision 
of the International Classification of Diseases (ICD-10), we can 
anticipate the 11th revision, just around the corner.  In developing 
ICD-11, the World Health organization is adopting some rather novel 
representational choices, including the use of a formal “content model” 
to frame the description of each entity in the classification; the 
ability to extract views (“linearizations”) from the standard 
classification to meet the needs of particular tasks (e.g., representing 
morality, representing mortality, coding descriptions for low-resource 
settings); the "post-coordination" of terms to simplify the enumeration 
of complex expressions; and the adoption of OWL.  We will discuss the 
design of ICD-11, and what the migration to this next version of ICD 
might be like.

ABOUT THE SPEAKER
Mark Musen Dr. Musen is Director of the Stanford University Center for 
Biomedical Informatics Research.  He conducts research related to 
intelligent systems, reusable ontologies, metadata for publication of 
scientific data sets, and biomedical decision support.  His group 
developed Protégé, the world’s most widely used technology for building 
and managing terminologies and ontologies. He is principal investigator 
of the National Center for Biomedical Ontology, one of the original 
National Centers for Biomedical Computing created by the U.S.
National Institutes of Heath (NIH).  He also is principal investigator 
of the Center for Expanded Data Annotation and Retrieval (CEDAR).  CEDAR 
is a center of excellence supported by the NIH Big Data to Knowledge 
Initiative, with the goal of developing new technology to ease the 
authoring and management of biomedical experimental metadata.

Received on Friday, 15 April 2016 22:05:30 UTC