A Causal Bayesian Model for the Diagnosis of Appendicitis

27 Mar 2013Stanley M. SchwartzJonathan BaronJohn R. Clarke

The causal Bayesian approach is based on the assumption that effects (e.g., symptoms) that are not conditionally independent with respect to some causal agent (e.g., a disease) are conditionally independent with respect to some intermediate state caused by the agent, (e.g., a pathological condition). This paper describes the development of a causal Bayesian model for the diagnosis of appendicitis... (read more)

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