An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps
Development of an integrated breast cancer risk prediction model using a two-level fuzzy cognitive map (FCM) model. The proposed model combines the demographic risk factors with the findings of the initial screening mammogram to elicit the hidden and impeding risk of developing breast cancer. Hebbian-based learning capabilities of FCM were used to improve the modeling issue and contribute to classification of tumor grading and risk prediction. The accuracy of the system is compared with benchmark machine learning methods showing its superiority.
breast cancer risk assessment fuzzy cognitive maps hebbian learning mammogram screening medical decision support systems