during |
The European Conference on Artificial Intelligence in Medicine |
(AIME'01) |
Cascais, Portugal, 1-4 July, 2001 |
(this CfP: http://www.cs.kun.nl/~peterl/aime01-ws.html) |
Bayesian models are used in medicine to assist in the diagnosis of disorders and to predict the natural course of disease or outcome after treatment (prognosis). They are also being used as part of models to determine the optimal treatments of a disorder in patients, or to predict outcome in groups of patients. The Bayesian approach has the advantage that evidence can be easily incorporated into statistical models. Another advantage is that evidence can be handled readily when using a Bayesian model to solve an actual medical problem. Furthermore, Bayesian models cannot only be developed by extracting probabilistic information from datasets; graphical models like Bayesian networks can also be constructed with the help of medical domain experts or by consulting relevant biomedical literature. Typically, Bayesian networks rely for their construction on causal, in particular (patho)physiological models of disease. Bayesian networks have also been used successfully for the construction of dynamic, temporal statistical models. The fact that Bayesian models allow for the easy incorporation of knowledge of background populations, explains that they are also increasingly used in research on risk models of disease, associating risk with spatial distribution of populations. When used for the prediction of life expectancy, they can be combined with traditional models of life expectancy. In the context of medical decision making, Bayesian models can be easily integrated with decision theory to yield models for the selection of optimal treatments, or to develop models for healthcare planning under uncertainty.
Submissions have been refereed by at least two and in most cases three
members of the programme
committee. Accepted papers will appear in the working notes of the
workshop "Bayesian Models in Medicine". The authors of the
best papers of the workshop will be invited to submit an extended
version of their paper to a special issue of the journal
Artificial Intelligence in Medicine on Bayesian Models in Medicine.
Preferably the papers are produced using either
For more information about the workshop please contact one of the co-chairs.
Peter Lucas |
AIME'01 |
Workshop Location
Last updated: 28 May,
2001
Topics
It is expected that papers will explicitly discuss one or more of the
topics mentioned below in the context of medicine.
Modelling and Reasoning
Learning
Evaluation
Final Programme
08:45 - 09:00 Coffee
Session I: 09:00 - 10:50 (Chair:
Peter Lucas)
10:50 - 11:15 Coffee Break
Session II: 11:15 - 12:35
(Chair: Linda van der Gaag)
12:35 - 14:15 Lunch
Session III: 14:15 - 15:50
(Chair: Ameen Abu-Hanna)
15:50 - 16:15 Refreshments Break
Session IV: 16:15 - 17:45
(Chair: Peter Lucas)
Instructions to authors
The papers (up to 5 pages) are to be sent as a compressed Postscript file by
e-mail before 10 June 2001 to all three co-chairs and should be written in
English with a brief abstract. Formatting instructions are as follows:
the abstract should be formatted in two-column format, with Times
Roman type face, pointsize 10, with title and names of the authors in
bold font. Left and right margins should be 2 cm, text height 23 cm,
and text width 16.9 cm; the two columns should be separated by 0.5 cm
white space. A sample paper is available.
The style file for each of these two text processing systems is obtained
by clicking on the hyperlinks.
\documenclass[fleqn,twocolumns]{article}
\usepackage{aime01}
(A sample LaTeX file is available.)
or
Registration
Workshop price is only 50 Euros; workshop participants must also
register for the main
AIME'01
conference.
Workshop organization
Co-Chairs
Peter Lucas, University of Aberdeen, Aberdeen, UK
Linda van der Gaag, Utrecht University, The Netherlands
Ameen Abu-Hanna, University of Amsterdam, The Netherlands
Programme committee
A. Abu-Hanna, The Netherlands
K.-P. Adlassnig, Austria
R. Bellazzi, Italy
C. Berzuini, Italy
G.F. Cooper, USA
R.G. Cowell, UK
F.J. Diez, Spain
M.J. Druzdzel, USA
L.C. van der Gaag, The Netherlands
P. Haddawy, USA
D. Hand, UK
I.S. Kohane, USA
P. Larranaga, Spain
A. Lawson, UK
L. Leibovici, Israel
T.Y. Leong, Singapore
P.J.F. Lucas, UK
S. Monti, USA
L. Ohno-Machado, USA
K.G. Olesen, Denmark
M. Paul, Israel
M. Ramoni, USA
A. Riva, USA
P. Sebastiani, USA
G. Tusch, Germany
J. Wyatt, UK
B. Zupan, Slovenia
Peter Lucas
Dept. of Comp. Science
Meston Building
University of Aberdeen
Aberdeen, AB24 3EU
Scotland, UK
Telephone: +44 1224 273829
Fax: +44 1224 273422/487048
plucas@csd.abdn.ac.uk
Linda van der Gaag
Dept. of Comp. Science
Utrecht University
Padualaan 14
3584 TB Utrecht
The Netherlands
Telephone: +31 30 2534113
Fax: +31 30 2513791
linda@cs.uu.nl
Ameen Abu-Hanna
Dept. of Medical Inform., AMC
University of Amsterdam
Meibergdreef 15
1105 AZ Amsterdam
The Netherlands
Telephone: +31 20 5664511
Fax : +31 20 6912432
A.Abu-Hanna@amc.uva.nl
University
of Aberdeen