抄録
The paper first describes a model of clinicians'
diagnostic process and discusses how the clinicians
diagnose their patients. It is important to detect possible
critical diseases at early stage of medical diagnosis
regardless of their frequency or probability. Therefore,
we propose a system that applies inverse causal reasoning
to diagnose possible diseases from observed clinical
information, which is based on possibilistic causal
relations between diseases and clinical information. Most
of clinical diagnosis systems proposed so far adopt single
disease assumption. However, multiple diseases often
occur simultaneously in clinical reasoning. The paper
also discusses the assumption of multiple-diseases to
support the clinical reasoning.
