International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 145 - Number 2 |
Year of Publication: 2016 |
Authors: Priyanka Jain, Santosh Kr. Vishwakarma |
10.5120/ijca2016910564 |
Priyanka Jain, Santosh Kr. Vishwakarma . Collaborative Analysis of Cancer Patient Data using Rapid Miner. International Journal of Computer Applications. 145, 2 ( Jul 2016), 8-13. DOI=10.5120/ijca2016910564
Breast cancer is one amongst the leading cancers for ladies in developed countries including Asian nation. It is the second most typical explanation for cancer death in women. The high incidence of breast cancer in women has redoubled considerably within the last years. In this paper discussion on varied data processing approaches that are used for carcinoma identification and prognosis. Carcinoma Diagnosis is identifying of benign from malignant breast lumps and carcinoma Prognosis predicts once Breast Cancer is to recur in patients that have had their cancers excised. This study paper summarizes various review and technical articles on carcinoma identification and prognosis additionally tend to concentrate on current analysis being dole out victimisation the info mining techniques to boost the breast cancer identification and prognosis.