Selection of the Diagnostic Hypotheses Through Fuzzy Decizion in Medical Diagnosis System
Abstract
The paper presents an evaluation of the diagnostic hypotheses’ selection step
within the medical diagnosis hybrid system DiaMed. Medical diagnoses are described in
DiaMed through fuzzy decision functions that are used as discrimination functions for the
selection. This type of selection is compared theoretically to a generic fuzzy inference
model for medical diagnosis, and is evaluated on a differential diagnosis example, using
the C discrimination index of Harrell.