For directions, see Munzer Location; in particular, the page How To Get To Munzer from 101 shows exactly how to get to the Munzer Auditorium using the entrance that's going to be available to participants. Notice that the door that will be left open is not the main Beckman entrance (which faces the Medical Center), but a side door that faces the parking lot and that you reach by going down a flight of outside stairs to the patio area.
On the day of the workshop there will be ample parking in front of the Beckman Building.
IDAMAP-2004, a one day Workshop on intelligent data analysis in
medicine and pharmacology, will be held at Stanford University, Paolo
Alto, CA, on Monday, 6th of September, 2004, just prior to MEDINFO-2004. This is the ninth
IDAMAP Workshop: the former ones were held in Budapest in 1996, Nagoya
in 1997, Brighton in 1998, Washington DC in 1999, Berlin in 2000,
London in 2001, Lyon in 2002, and Cyprus in 2003.
The IDAMAP workshop series is devoted to computational methods for
data analysis in medicine, biology and pharmacology that present
results of analysis in the form communicable to domain experts and
that somehow exploit expert knowledge of the problem domain. Such
knowledge may be available at different stages of the data-analysis
and model-building process. Typical methods include data mining,
temporal abstraction, machine learning, and data visualization.
Gathering in an informal setting, workshop participants will have
the opportunity to meet and discuss selected technical topics in an
atmosphere which fosters the active exchange of ideas among
researchers and practitioners. The workshop is intended to be a
genuinely interactive event and not a mini-conference, thus ample time
will be allotted for general discussion.
This year's IDAMAP will also feature the following invited talks:
Michael Kattan, Memorial Sloan-Kettering Cancer Center, New York,
NY, who will give a talk on cancer prediction models and their
utility in clinical practice (see also web pages on cancer
Harvard Medical School, Boston, MA, who will talk on Bayesian
networks for integrative genomics.
Ameen Abu-Hanna and Niels Peek, Department of Medical Informatics,
Academic Medical Center University of Amsterdam, The Netherlands. Their talk will be on Evaluation of Predictive Models in Medicine: Concepts and Measures.