Bayesian networks (also known as causal probabilistic networks) with their associated methods have now been around in medicine for more than a decade. They have become increasingly popular for representing and handling uncertain knowledge in medicine. Almost simultaneously, the use of Bayesian statistics has increased in popularity in medicine. This workshop aims to bring together researchers in these fields in order to assess the current state of the art, to identify obstacles for progress and to determine future research directions. The workshop's aim is also to promote research collaboration among different groups in these fields.
The care of critically ill patients in Intensive Care Units (ICUs) and
during Anaesthesia is becoming increasingly complex. Clinicians are
required to rapidly interpret and respond to a large number of clinical
parameters, selecting appropriate treatment for the patient among many
different options. New measurement technology has increased the demand
for improved information management, as has the need to monitor and
assess the quality of care provided. This workshop presents "State of
the art" applications of information technology for clinicians,
researchers and industry working in Anaesthesia and Intensive Care.