[news] Scientific program for the workshop is available here.
[news] The full proceedings for the workshop is also available.
With the current trend toward pervasive health care, personalised health care, and the ever growing amount of evidence coming from biomedical research, methods that can handle reasoning and learning under uncertainty are becoming more and more important. The ongoing developments of the past two decades in the field of artificial intelligence have made it now possible to apply probabilistic methods to solve problems in real-world biomedical domains
In this workshop, we seek high quality contributions of applications of probabilistic modelling, reasoning, and learning to problems in biomedicine as well as papers proposing theoretical foundations of such methods. This workshop a satellite workshop of the 13th Conference on Artificial Intelligence in Medicine (AIME'11).
Previous AIME workshops
This workshop is a continuation of closely related AIME workshops on probabilistic graphical models that were held some time ago:- Bayesian Models in Medicine at AIME'01
- Model-based and Qualitative Reasoning in Biomedicine at AIME'03
Important dates
| Workshop date | July 2, 2011 |
| AIME 2011 | July 3-5, 2011 |
Contact
For more information about this workshop, please contact one of the organisers.
|
Arjen Hommersom Faculty of Science University of Nijmegen P.O. Box 9010 6500GL Nijmegen The Netherlands Telephone: +31 24 3652104 Fax: +31 24 3653366 arjenh@cs.ru.nl |
Peter Lucas Faculty of Science Radboud University Nijmegen P.O. Box 9010 6500GL Nijmegen The Netherlands Telephone: +31 24 3652611 Fax: +31 24 3653366 peterl@cs.ru.nl |