Paper Title:Privacy preserved Recommender system for Breast Cancer Patients

Abstract

Some of the problems cannot be expressed by some people, especially women suffering from breast cancer. So they cannot express their views publicly and because of this, problem keeps on going and increases the tumour inside there by deteriorating the health totally. The main concern of the patients diagnosed with a medical condition is, which physician is to be chosen. Along with this, they also look for a recommendation system which can protect private information in a secure manner which is a major concern of an interactive user who can share their private information in the internet. So we would like to provide some recommendations to such kind of women who can express their problems privately in a blog, which can be maintained securely. After identifying the women who are suffering or diagnosed with breast cancer, we do some recommendations like: • Recommendations are provided online, doctor facility to elaborate their problem in detail • Recommendations based on their symptoms and other relevant predictions of breast cancer. • Giving the details of other patients (name will be hiding and only revealing the patient symptoms and how they undergo treatment) who are also suffering with the same problem.


Keywords:big data analytics, recommendation system, security, sentiment.