Computational Techniques in Breast Cancer Diagnosis and Prognosis: A Review

Macro level information like histological, clinical and demographic details about a Breast cancer patient are used for research. Now this is supplemented with micro level information like genomic, proteomic and imaging of breast cancer. Problem domains on Breast cancer research include Diagnosis, Prognosis, Survivability and Recurrence Prediction. This paper gives a review of various types of data available and data mining techniques that are applied on different problem domain of Breast cancer research.