Expert system for assessing dynamic changes in biomedical tumor images in breast cancer

Abstract

Main directions of the application of the mathematical methods in medical diagnosis are analyzed, their drawbacks are evaluated, and principles of diagnosis, based on fuzzy logic are formulated. Mathematical models and algorithms, formalizing the process of diagnostic decisions making on the base of fuzzy logic at quantitative and qualitative parameters of the patient state are developed; mathematical models of the membership functions, formalizing the presentation of quantitative and qualitative parameters of the patients state in the form of the fuzzy sets, used in the models and algorithms of diagnosis and determining the diagnosis in case of breast cancer. The purpose of these investigation is to develop a fuzzy expert system based on the analysis of biomedical images for the diagnosis of oncological diseases using the example of breast cancer.