The fuzzy medical group in the centre for computational intelligence.
In this paper, five ongoing or completed research projects in medicine using fuzzy sets and logic are summarized. They are, a lightweight fuzzy process for diagnosis using fuzzy symptoms, prediction of pulmonary embolisms from linguistic descriptions of perfusion and ventilation scans, application of the fuzzy ART/MAP and MinMax/MAP neural network models to radiographic image classification, the development of a fuzzy expert system for the analysis of umbilical cord blood, modeling nursing intuition using type 2 fuzzy sets. These projects use a variety of fuzzy methods including clustering, simple set aggregation and type 2 inferencing to achieve their aims. The ongoing research projects reflect an interest in using type 2 fuzzy sets for dealing with vagueness and linguistic knowledge which is commonly found in medical areas where perceptions rather than measurements are the norm.
Innocent
P R
PR
De Montfort University, Leicester, UK. pri@dmu.ac.uk
John
R I
RI
Garibaldi
J M
JM
D001185:Artificial Intelligence; D003937:Diagnosis, Differential; D005312:Fetal Blood / Q000737:chemistry; D017143:Fuzzy Logic; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008037:Linguistics; D009732:Nursing Care; D011655:Pulmonary Embolism / Q000175:diagnosis; D012984:Software