MEDICAL EXPERT-SYSTEM ON FUZZY ANALOG GANGLIONAR LATTICES - EXPLICATION AND PROSPECTION BASED ON SENSITIVITY

A reasoning method to explicate the conclusions - a posteriori - and t o prospect for the next test - a priori applied to medical expert syst ems based on fuzzy analog ganglionar lattices is presented. This metho d is founded on the sensitivity criterion of the consequent respect to the antecedents. It proves to be suited for problems of any complexit y specially when they are formulated on well-established intermediate concepts, such as syndromes, clinical finding, laboratory procedures, etc., as is usually the case in medical procedures. This type of exper t system uses the structural properties of the ganglionar lattice to p roduce explications for its conclusions at different levels of abstrac tion, and to an arbitrary, but fixed, explicative degree. A measure to evaluate the consequent's achieved preciseness (certainty) is also su pplied. A full example of application in the diagnosis of cardiac insu fficiency with hypertensive myocardiopathy is shown, and a computation al implementation of this analog procedure is described. Finally, the reasoning methods for explicating and prospecting are discussed.