VISUALIZATION OF RISK IN BREAST CANCER USING FUZZY LOGIC IN MATLAB ENVIRONMENT
B R Madhu, Syeda Ayesha, R. S. Ramya, Rajeswari Sridhar, Sasirekha Balasubramanian · 2013
Breast cancer is the global burden, the recorded breast cancer data from hospitals can be used to develop a fuzzy decision support system to help in risk stratification of breast cancer, which helps as a decision supporting system. This system uses age and cancer state as a input variable and one output variable as risk status which is further divided into Not serious, Serious and Very serious. This parsimonious system helps in the assessment of the breast cancer risk. Despite the latest technological developments, the method and criteria used to quantify are reliable risk estimate and still subjective. The present study introduces a set of fuzzy rules that can be used to process the relevant data from breast cancer cases in order to assess breast cancer risk prognosis which is qualitative.