Clinical Reasoning System Based on Clinicians' Diagnostic Process

Abstract

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.