Design of Automated Medical Diagnosis System with Normal Degree
Yutaka Hata, Osamu Ishikawa, Katsuya Kondo, Syoji Kobashi · 2005
This paper describes a design method of automated medical diagnosis system (AMDS), which provides a normal degree for a disease. In this paper, we consider blood test data of human. Suppose a disease which can be diagnosed by the test, first, we do statistical analysis. Second, we determine the reference range of the test. Third, we design a fuzzy inference system consisting of membership functions based on the reference range. The inference system plays primary role in the AMDS. Finally, we show the design of AMPS for diabetes and the experimental results.