Fuzzy Set Theory and Fuzzy Logic in Medicine
Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledgebased systems in medicine for tasks such as the interpretation of sets of medical findings, the single or differential diagnosis of diseases from various areas of medicine, the optimal selection of medical treatments, and for real-time monitoring of patient data.
Abstract
Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledgebased systems in medicine for tasks such as the interpretation of sets of medical findings, the single or differential diagnosis of diseases from various areas of medicine, the optimal selection of medical treatments, and for real-time monitoring of patient data. This was verified by trials with the following systems: FuzzyKBWean–an open-loop fuzzy control system for optimization and quality control of the ventilation and weaning process of patients after cardiac surgery at the intensive care unit (ICU), FuzzyARDS–an intelligent on-line monitoring program for ICU data from patients with acute respiratory distress syndrome (ARDS) employing fuzzy trend detection and fuzzy automata, and CADIAG-II and MedFrame/CADIAG-IV–framework programs (shells) for consultation systems to aid in the differential diagnostic process in Internal Medicine. All the above-mentioned computer systems have reached the state of extensive clinical integration and testing at the Vienna General Hospital.