Early Diagnosis of Pesticide-Induced Diseases through Computerized Decision Support System and Assessment of Body Acupuncture Points Response

The aim of this research is to improve the quality of medical care for workers in the agro-industrial complex in contact with pesticides through the use of fuzzy mathematical models implemented by modern information and intellectual technologies using Acupunctures Points (Points Bioactive). The problem of diagnosing and classifying class of diseases is fuzzy problem. with intersecting boundaries of the studied states. We use data from reflex diagnostics methods in hybrid fuzzy decision rules to build prediction classification model. We integrate clinical thinking (natural intelligence) with artificial intelligence, using input data the reaction energy of biologically active points (acupuncture points) which allows to achieve a new quality in solving complex systemic problems and is innovativ.