The
infraNET Project and
Waterloo Institute for Health Informatics Research
at the University of Waterloo
present ...
Mining Health-Related Data:
Methods and Applications in Research,
Public Health, and Patient Care
by
John Holmes, PhD
Assistant Professor, Medical
Informatics in Epidemiology
Hospital of the University of Pennsylvania
Wednesday, October 22,
2003
3:00 p.m. - 4:30 p.m.
Davis Centre, Room 1302
University of Waterloo
This
Seminar is Sponsored By
McKesson Canada
This seminar is of interest to
Health and IT Executives, IS/IT Staff, Faculty and Students.
There is no charge for this event, however, we ask that you
register to attend.
Seating is on a first-come, first-served basis.
Abstract
Health-related data is extremely rich in discoverable knowledge. In research domains,
data are collected on everything from proteins and genes to animals and humans.
In public health, surveillance systems capture data regarding the population
at large. In patient care, ever-increasing amounts of clinical data are
becoming the norm in both inpatient and outpatient settings. How do we make sense
of these data and is there a way we can bring these diverse data systems together
into an analyzable whole?
This talk examines approaches to warehousing these data and
analyzing them using knowledge discovery tools. Applying these data
mining tools is a process with a well-defined life-cycle. The talk
will focus on this knowledge discovery life-cycle, with a review of
each of the component articulations, from data aggregation and
reduction, to data representation and visualization, to selecting a
suite of data mining tools, and through to the interpretation of results.
Three test cases, one each from research, public health, and patient care
domains, will be used to illustrate these articulations. In addition, several
data mining tools will be discussed and demonstrated.
John Holmes is Assistant Professor
of Medical Informatics in Epidemiology at the Hospital of the University
of Pennsylvania and a researcher at the Center for Clinical Epidemiology
and Biostatistics at the University of Pennsylvania. He is also the Associate
Director of the Post-Doctoral Fellowship Program in Medical Informatics
at the Veteran s Administration Medical Center in Philadelphia. Dr.
Holmes is a member in the Ackoff Center for Advancement of Systems Approaches,
a community of researchers at the University of Pennsylvania working on
a wide variety of projects in complex systems, medical informatics, and decision making.
Dr. Holmes obtained his PhD (Information Science) from Drexel in
1996. His dissertation, "Evolution-Assisted Discovery of Sentinel
Features in Epidemiologic Surveillance, was the first work to apply evolutionary computation
to epidemiologic research. Today, Dr. Holmes has an international reputation
in applying evolutionary computation to epidemiologic data mining and has
broadened his research interests to include several other areas in medical informatics
including machine learning approaches to knowledge discovery in databases.
For more information
Shirley Fenton
Managing Director, WIHIR
The infraNET Project
Computer Systems Group, University of Waterloo
(519) 888-4074
Seminar Hosts
This seminar is hosted by the Waterloo Institute for
Health Informatics Research (WIHIR) and The infraNET Project,
University of Waterloo.
The infraNET Project, initiated by the
University of Waterloo in 1996, is a partnership to advance Web and
Internet technologies. Its founding partners are: LivePage (now part
of Siebel), MKS, Open Text, RIM, Sybase (Waterloo) and Waterloo Maple.
We also gratefully acknowledge the
assistance of the Institute for Computer Research, University of
Waterloo.
